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R 749.00
Introduction To Statistical Mechanics: Solutions To Problems
Statistical mechanics is concerned with defining the thermodynamic properties of a macroscopic sample in terms of the properties of the microscopic systems of which it is composed. The previous book Introduction to Statistical Mechanics provided a clear, logical, and self-contained treatment of equilibrium statistical mechanics starting from Boltzmann's two statistical assumptions, and presented a wide variety of applications to diverse physical assemblies. An appendix provided an introduction to non-equilibrium statistical mechanics through the Boltzmann equation and its extensions. The coverage in that book was enhanced and extended through the inclusion of many accessible problems. The current book provides solutions to those problems. These texts assume only introductory courses in classical and quantum mechanics, as well as familiarity with multi-variable calculus and the essentials of complex analysis. Some knowledge of thermodynamics is also assumed, although the analysis starts with an appropriate review of that topic. The targeted audience is first-year graduate students and advanced undergraduates, in physics, chemistry, and the related physical sciences. The goal of these texts is to help the reader obtain a clear working knowledge of the very useful and powerful methods of equilibrium statistical mechanics and to enhance the understanding and appreciation of the more advanced texts.
R 1,897.03
Introduction To Numerical Computation, An
This book serves as a set of lecture notes for a senior undergraduate level course on the introduction to numerical computation, which was developed through 4 semesters of teaching the course over 10 years. The book requires minimum background knowledge from the students, including only a three-semester of calculus, and a bit on matrices.The book covers many of the introductory topics for a first course in numerical computation, which fits in the short time frame of a semester course. Topics range from polynomial approximations and interpolation, to numerical methods for ODEs and PDEs. Emphasis was made more on algorithm development, basic mathematical ideas behind the algorithms, and the implementation in Matlab.The book is supplemented by two sets of videos, available through the author's YouTube channel. Homework problem sets are provided for each chapter, and complete answer sets are available for instructors upon request.The second edition contains a set of selected advanced topics, written in a self-contained manner, suitable for self-learning or as additional material for an honored version of the course. Videos are also available for these added topics.
R 3,590.00
Introduction to the Philosophy of Methodology
This book provides students with a concise introduction to the philosophy of methodology. The book stands apart from existing methodology texts by clarifying in a student-friendly and engaging way distinctions between philosophical positions, paradigms of inquiry, methodology and methods. Building an understanding of the relationships and distinctions between philosophical positions and paradigms is an essential part of the research process and integral to deploying the methodology and methods best suited for a research project, thesis or dissertation. Aided throughout by definition boxes, examples and exercises for students, the book covers topics such as:- Positivism and Post-positivism- Phenomenology- Critical Theory- Constructivism and Participatory Paradigms- Post-Modernism and Post-Structuralism- Ethnography- Grounded Theory- Hermeneutics- Foucault and DiscourseThis text is aimed at final-year undergraduates and post-graduate research students. For more experienced researchers developing mixed methodological approaches, it can provide a greater understanding of underlying issues relating to unfamiliar techniques.
R 3,714.40
Introduction to Japanese Society
An Introduction to Japanese Society provides an engaging introduction to Japanese society by internationally renowned scholar Yoshio Sugimoto. The text examines the diverse nature of contemporary Japanese society with chapters covering class, work, education, gender, ethnicity, religion, popular culture, and the establishment. This edition discusses the shifting landscape of the 'Cool Japan' project; the impact of the COVID–19 pandemic; the significance of Okinawa as the land of ethnic identity; the escalation of foreign workers and residents; the casualization of the labor force; intersectionality in Japanese class culture; the continuous aging of Japanese society; geopolitical shifts in East Asia; and the outcomes of recent national elections. Each chapter contains case examples, providing contemporary perspectives on each topic, as well as research questions, further readings, and online resources to consolidate student understanding and guide further exploration. Lively and highly readable, this text is essential reading for all students of Japanese society.
R 2,050.00
Introduction to the Simulation of Dynamics Using Simulink
Designed for undergraduate students in the general science, engineering, and mathematics community, Introduction to the Simulation of Dynamics Using Simulink® shows how to use the powerful tool of Simulink to investigate and form intuitions about the behavior of dynamical systems. Requiring no prior programming experience, it clearly explains how to transition from physical models described by mathematical equations directly to executable Simulink simulations.Teaches students how to model and explore the dynamics of systemsStep by step, the author presents the basics of building a simulation in Simulink. He begins with finite difference equations and simple discrete models, such as annual population models, to introduce the concept of state. The text then covers ordinary differential equations, numerical integration algorithms, and time-step simulation. The final chapter offers overviews of some advanced topics, including the simulation of chaotic dynamics and partial differential equations.A one-semester undergraduate course on simulationWritten in an informal, accessible style, this guide includes many diagrams and graphics as well as exercises embedded within the text. It also draws on numerous examples from the science, engineering, and technology fields. The book deepens students’ understanding of simulated systems and prepares them for advanced and specialized studies in simulation. Ancillary materials are available at http://nw08.american.edu/~gray
R 4,249.00
Introduction to Communication
Prioritizing brevity and clarity, this textbook introduces the study of communication through examples and applications of communication in a variety of contexts. With a unique focus on diversity and the impact of culture, each chapter opens with a case study that identifies a communication challenge, which the chapter addresses throughout, and concludes with questions that respond to that challenge. A consistent, organized structure with numerous features including fundamental issues, questions for understanding and analysis, theoretical insight (examining a particular relevant theory), and a skill set section, easily guides you through the foundations of the study of communication. Cross-referencing between chapters demonstrates the multidimensional nature of communication and the everyday talk sections demonstrate how each topic relates to technology, the workplace, or health issues. Offering a wealth of diverse examples from students' personal, professional, and online lives, this book teaches skills allowing students from all academic backgrounds to understand communication.
R 5,570.29
Introduction to Item Response Theory Models and Applications
This is a highly accessible, comprehensive introduction to item response theory (IRT) models and their use in various aspects of assessment/testing. The book employs a mixture of graphics and simulated data sets to ease the reader into the material and covers the basics required to obtain a solid grounding in IRT.Written in an easily accessible way that assumes little mathematical knowledge, Carlson presents detailed descriptions of several commonly used IRT models, including those for items scored on a two-point (dichotomous) scale such as correct/incorrect, and those scored on multiple-point (polytomous) scales, such as degrees of correctness. One chapter describes a model in-depth and is followed by a chapter of instructions and illustrations showing how to apply the models to the reader’s own work.This book is an essential text for instructors and higher level undergraduate and postgraduate students of statistics, psychometrics, and measurement theory across the behavioral and social sciences, as well as testing professionals.
R 9,325.71
Introduction To Stochastic Processes And Nonequilibrium Statistical Physics, An
The purpose of this textbook is to bring together, in a self-contained introductory form, the scattered material in the field of stochastic processes and statistical physics. It offers the opportunity of being acquainted with stochastic, kinetic and nonequilibrium processes. Although the research techniques in these areas have become standard procedures, they are not usually taught in the normal courses on statistical physics. For students of physics in their last year and graduate students who wish to gain an invaluable introduction on the above subjects, this book is a necessary tool.
R 3,077.94
Introduction to Multivariate Analysis
This book provides an introduction to the analysis of multivariate data.It describes multivariate probability distributions, the preliminary analysisof a large -scale set of data, princ iple component and factor analysis,traditional normal theory material, as well as multidimensional scaling andcluster analysis.Introduction to Multivariate Analysis provides a reasonable blend oftheory and practice. Enough theory is given to introduce the concepts andto make the topics mathematically interesting. In addition the authors discussthe use (and misuse) of the techniques in pra ctice and present appropriatereal-life examples from a variety of areas includ ing agricultural research,soc iology and crim inology. The book should be suitable both for researchworkers and as a text for students taking a course on multivariate analysis.
R 5,836.79
Guide to Quantitative History
This book introduces statistical techniques for the particular needs of historians. The approach is practical and applied; alternative ways of resolving methodological problems are worked through. The emphasis is on applying the fundamentals of statistical theory to the specific research interests of historians and available historical sources. A special feature of the book is a discussion of the historical evolution of statistical techniques as a means of understanding their current applications and interpretations.
R 1,706.00
Introduction to Datafication
This book presents the process and framework you need to transform aspects of our world into data that can be collected, analyzed, and used to make decisions. You will understand the technologies used to gather and process data from many sources, and you will learn how to analyze data with AI and ML models.Datafication is becoming increasingly prevalent in many areas of our lives, from business to education and healthcare. It has the potential to improve decision-making by providing insights into patterns, trends, and correlation between seemingly unconnected pieces of data. This book explains the evolution, principles, and patterns of datafication used in our day-to-day activities. It covers how to collect data from a variety of sources, using technologies such as edge, streaming techniques, REST, and frameworks, as well as data cleansing and data lineage. A data analysis framework is provided to guide you in designing and developing AI and ML projects, including the details of sentiment and behavioral analytics.Introduction to Datafication teaches you how to engineer AI and ML projects by using various methodologies, covers the security mechanisms to be applied for datafication, and shows you how to govern the datafication process with a well-defined governance framework.What You Will LearnUnderstand the principles and patterns to be adopted for dataficationGain techniques for sourcing and mining data, and for sharing data with a data pipelineLeverage the AI and ML algorithms most suitable for dataficationUnderstand the data analysis framework used in every AI and ML projectMaster the details of sentiment and behavioral analytics through practical examplesUtilize development methodologies for datafication engineering and the related security and governance frameworkWho This Book Is ForStudents, data scientists, data analysts, and AI and ML engineers
R 1,286.09
Introduction to Social Work
An Introduction to Social Work: Empowering People and Communities familiarizes students with key concepts in social work and social welfare with an emphasis on empowerment and social justice.The chapters outline the levels of practice with individuals, families, and communities, and the various roles in which social workers engage to enhance human well-being and help meet the basic human needs of all people, particularly individuals who are vulnerable, oppressed, and living in poverty. The book employs an empowerment and strengths-based perspective, introducing students to methods for working with clients to forge resiliency. Students learn how the profession of social work has contributed to and can align itself with social justice, from direct service roles to advocacy. The book provides examples of working with at-risk populations, case studies, and best practices to deepen the student learning experience. It discusses the realities of social work practice, the need for empathy with clients, and how to prevent compassion fatigue and burnout. Designed to inspire students and help them envision a society where all have equal opportunities, An Introduction to Social Work is an exemplary resource for foundational courses in the discipline.
R 3,608.51
Introduction to Social Anthropology
An essential core textbook that leads the reader from Social Anthropology’s foundational approaches and theories to the fundamental areas that characterise the field today. Taking a truly global and holistic view, it includes a wide range of case studies, touching on topics that both divide and connect us, such as family, marriage and religion. Fully updated and revised, the third edition of this popular textbook continues to introduce students to what Social Anthropology is, what anthropologists do, how and what they contribute, and how even a limited knowledge of anthropology can help people flourish in today’s world.This is an inviting, engaging and enjoyable text that has established itself as a comprehensive introduction to social and cultural anthropology. Written in an accessible style, and including a wide range of pedagogical features, it is ideally suited to new or prospective students seeking to better understand the discipline and its roots.New to this Edition:- Includes a new chapter on the role of social and cultural anthropologists and the specific methods they use in a fast-changing world- Features a number of new first-hand accounts to explore difficult concepts through people's real world experiences- Updated sections for further exploration, including books, articles, novels, films and websites
R 1,441.00
R 796.00
Introduction to Bioinformatics with R
In biological research, the amount of data available to researchers has increased so much over recent years, it is becoming increasingly difficult to understand the current state of the art without some experience and understanding of data analytics and bioinformatics. An Introduction to Bioinformatics with R: A Practical Guide for Biologists leads the reader through the basics of computational analysis of data encountered in modern biological research. With no previous experience with statistics or programming required, readers will develop the ability to plan suitable analyses of biological datasets, and to use the R programming environment to perform these analyses. This is achieved through a series of case studies using R to answer research questions using molecular biology datasets. Broadly applicable statistical methods are explained, including linear and rank-based correlation, distance metrics and hierarchical clustering, hypothesis testing using linear regression, proportional hazards regression for survival data, and principal component analysis. These methods are then applied as appropriate throughout the case studies, illustrating how they can be used to answer research questions.Key Features:· Provides a practical course in computational data analysis suitable for students or researchers with no previous exposure to computer programming.· Describes in detail the theoretical basis for statistical analysis techniques used throughout the textbook, from basic principles· Presents walk-throughs of data analysis tasks using R and example datasets. All R commands are presented and explained in order to enable the reader to carry out these tasks themselves.· Uses outputs from a large range of molecular biology platforms including DNA methylation and genotyping microarrays; RNA-seq, genome sequencing, ChIP-seq and bisulphite sequencing; and high-throughput phenotypic screens.· Gives worked-out examples geared towards problems encountered in cancer research, which can also be applied across many areas of molecular biology and medical research.This book has been developed over years of training biological scientists and clinicians to analyse the large datasets available in their cancer research projects. It is appropriate for use as a textbook or as a practical book for biological scientists looking to gain bioinformatics skills.
R 3,114.00
Introduction to System Reliability Theory
This textbook provides the tools for a modern post-graduate introductory course on system reliability theory. It focuses on probabilistic aspects of the theory, including recent results based on signatures, stochastic orders, aging classes, copulas and distortion (or aggregation) functions. The reader requires on an introductory knowledge on probability theory and mathematics. The book serves both for graduate students in mathematics and for engineering students in various disciplines as well as students learning survival analysis, network reliability or simple game theory. Included also are brief introductions to the basic aspects of lifetime modelling, stochastic comparisons, aging classes, mixtures and copula theory. The book develops this knowledge with worked examples and supplies code for the program R so that students can explore its lessons and techniques.
R 2,743.84
Introduction to Computational Cardiology
Introduction to Computational Cardiology provides a comprehensive, in-depth treatment of the fundamental concepts and research challenges involved in the mathematical modeling and computer simulation of dynamical processes in the heart, under normal and pathological conditions. About this textbook:- Presents descriptions of models used in both biology and medicine for discovering the mechanisms of heart function and dysfunction on several physiological scales across different species.- Provides several examples throughout the textbook and exercises at the end which facilitate understanding of basic concepts and introduces, for implementation, treated problems to parallel supercomputers.Introduction to Computational Cardiology serves as a secondary textbook or reference book for advanced-level students in computer science, electrical engineering, biomedical engineering, and cardiac electrophysiology. It is also suitable for researchers employing mathematical modeling and computer simulations of biomedical problems.
R 3,029.68
Introduction to Information Systems
A clear, student-friendly and engaging introduction to how information technology is used in business. Featuring several case studies, video interviews, thorough pedagogy and completely up-to-date chapters, this textbook will be a core resource for undergraduate students of Business Information Systems, a compulsory module in business degrees.Accompanying online resources for this title can be found at bloomsburyonlineresources.com/an-introduction-to-information-systems. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.
R 3,237.00
Introduction to Communication Theory and Systems
This book was written as a first treatment of statistical com munication theory and communication systems at a senior graduate level. The only formal prerequisite is a knowledge of ele mentary calculus; however, some familiarity with linear systems and transform theory will be helpful. Chapter 1 is introductory and contains no substantial techni cal material. Chapter 2 is an elementary introduction to probability theory at a nonrigorous and non abstract level. It is essential to the remainder of the book but may be skipped (or reviewed has tily) by any student who has taken a one-semester undergraduate course in probability. Chapter 3 is a brief treatment of random processes and spec tral analysis. It includes an introduction to shot noise (Sections 3.14-3.17) which is not subsequently used explicitly. Chapter 4 considers linear systems with random inputs. It includes a considerable amount of material on narrow-band sys tems and on the representation of random processes. Chapter 5 treats the matched filter and the linear least mean-squared-error filter at an elementary level but in some detail. Numerous examples are provided throughout the book. Many of these are of an elementary nature and are intended merely to illustrate textual material. A reasonable number of problems of varying difficulty are provided. Instructors who adopt the text for classroom use may obtain a Solutions Manual for most of the problems by writing to the author.
R 1,566.66
R 780.00
Introduction to Discrete Event Simulation and Agent-based Modeling
Discrete event simulation and agent-based modeling are increasingly recognized as critical for diagnosing and solving process issues in complex systems. Introduction to Discrete Event Simulation and Agent-based Modeling covers the techniques needed for success in all phases of simulation projects. These include:• Definition – The reader will learn how to plan a project and communicate using a charter. • Input analysis – The reader will discover how to determine defensible sample sizes for all needed data collections. They will also learn how to fit distributions to that data. • Simulation – The reader will understand how simulation controllers work, the Monte Carlo (MC) theory behind them, modern verification and validation, and ways to speed up simulation using variation reduction techniques and other methods. • Output analysis – The reader will be able to establish simultaneous intervals on key responses and apply selection and ranking, design of experiments (DOE), and black box optimization to develop defensible improvement recommendations. • Decision support – Methods to inspire creative alternatives are presented, including lean production. Also, over one hundred solved problems are provided and two full case studies, including one on voting machines that received international attention. Introduction to Discrete Event Simulation and Agent-based Modeling demonstrates how simulation can facilitate improvements on the job and in local communities. It allows readers to competently apply technology considered key in many industries and branches of government. It is suitable for undergraduate and graduate students, as well as researchers and other professionals.
R 2,543.78
Introduction to Quantum Stochastic Calculus
An Introduction to Quantum Stochastic Calculus aims to deepen our understanding of the dynamics of systems subject to the laws of chance both from the classical and the quantum points of view and stimulate further research in their unification. This is probably the first systematic attempt to weave classical probability theory into the quantum framework and provides a wealth of interesting features: The origin of Ito’s correction formulae for Brownian motion and the Poisson process can be traced to commutation relations or, equivalently, the uncertainty principle.Quantum stochastic integration enables the possibility of seeing new relationships between fermion and boson fields.Many quantum dynamical semigroups as well as classical Markov semigroups are realised through unitary operator evolutions. The text is almost self-contained and requires only an elementary knowledge of operator theory and probability theory at the graduate level. - - - This is an excellent volume which will be a valuable companion both to those who are already active in the field and those who are new to it. Furthermore there are a large number of stimulating exercises scattered through the text which will be invaluable to students. (Mathematical Reviews) This monograph gives a systematic and self-contained introduction to the Fock space quantum stochastic calculus in its basic form (...) by making emphasis on the mathematical aspects of quantum formalism and its connections with classical probability and by extensive presentation of carefully selected functional analytic material. This makes the book very convenient for a reader with the probability-theoretic orientation, wishing to make acquaintance with wonders of the noncommutative probability, and, more specifcally, for a mathematics student studying this field. (Zentralblatt MATH)Elegantly written, with obvious appreciation for fine points of higher mathematics (...) most notable is [the] author's effort to weave classical probability theory into [a] quantum framework.(The American Mathematical Monthly)
R 4,273.37
Introduction to Critical Sociology
Introduction to Critical Sociology: A Reader provides students with a curated collection of articles centered on critical sociology and its ability to address the social, political, racial, gender, ableist, and other oppressive structures of the past and today. The anthology challenges readers to question often unnamed or hidden categories that support structures of power that reproduce division and exclusion.The anthology is organized into five units. Unit I focuses on the foundations of sociology as a discipline, what sociological thinking is, and what it looks like in practice. Unit II covers the media, paying close attention to American society and culture. In Units III and IV, readers learn about social stratification and issues related to gender, sex, and sexuality. The final unit focuses on critical race theory and White supremacy.Designed to help students become more socially aware, self-reflective, and better stewards of a just and equitable world, Introduction to Critical Sociology is an ideal supplementary textbook for courses and programs in sociology.
R 2,739.61
Introduction to Thermodynamics and Statistical Physics
This textbook offers an advanced undergraduate or initial graduate level introduction to topics such as kinetic theory, equilibrium statistical mechanics and the theory of fluctuations from a modern perspective. The aim is to provide the reader with the necessary tools of probability theory and thermodynamics (especially the thermodynamic potentials) to enable subsequent study at advanced graduate level. At the same time, the book offers a bird's eye view on arguments that are often disregarded in the main curriculum courses. Further features include a focus on the interdisciplinary nature of the subject and in-depth discussion of alternative interpretations of the concept of entropy. While some familiarity with basic concepts of thermodynamics and probability theory is assumed, this does not extend beyond what is commonly obtained in basic undergraduate curriculum courses.
R 1,942.52
Introduction to Mediation, Moderation, and Conditional Process Analysis
Acclaimed for its thorough presentation of mediation, moderation, and conditional process analysis, this book has been updated to reflect the latest developments in PROCESS for SPSS, SAS, and, new to this edition, R. Using the principles of ordinary least squares regression, Andrew F. Hayes illustrates each step in an analysis using diverse examples from published studies, and displays SPSS, SAS, and R code for each example. Procedures are outlined for estimating and interpreting direct, indirect, and conditional effects; probing and visualizing interactions; testing hypotheses about the moderation of mechanisms; and reporting different types of analyses. Readers gain an understanding of the link between statistics and causality, as well as what the data are telling them. The companion website (www.afhayes.com) provides data for all the examples, plus the free PROCESS download. New to This Edition *Rewritten Appendix A, which provides the only documentation of PROCESS, including a discussion of the syntax structure of PROCESS for R compared to SPSS and SAS. *Expanded discussion of effect scaling and the difference between unstandardized, completely standardized, and partially standardized effects. *Discussion of the meaning of and how to generate the correlation between mediator residuals in a multiple-mediator model, using a new PROCESS option. *Discussion of a method for comparing the strength of two specific indirect effects that are different in sign. *Introduction of a bootstrap-based Johnson–Neyman-like approach for probing moderation of mediation in a conditional process model. *Discussion of testing for interaction between a causal antecedent variable [ital]X[/ital] and a mediator [ital]M[/ital] in a mediation analysis, and how to test this assumption in a new PROCESS feature.
R 3,371.00
Introduction to Estimating Economic Models
The book's comprehensive coverage on the application of econometric methods to empirical analysis of economic issues is impressive. It uncovers the missing link between textbooks on economic theory and econometrics and highlights the powerful connection between economic theory and empirical analysis perfectly through examples on rigorous experimental design. The use of data sets for estimation derived with the Monte Carlo method helps facilitate the understanding of the role of hypothesis testing applied to economic models. Topics covered in the book are: consumer behavior, producer behavior, market equilibrium, macroeconomic models, qualitative-response models, panel data analysis and time-series analysis. Key econometric models are introduced, specified, estimated and evaluated. The treatment on methods of estimation in econometrics and the discipline of hypothesis testing makes it a must-have for graduate students of economics and econometrics and aids their understanding on how to estimate economic models and evaluate the results in terms of policy implications.
R 5,317.40
Introduction to Politics
This introduction to politics is designed for first-year students in social sciences and for the general reader interested in the basics of contemporary politic. The text's various sections and lecture summaries deal with the important areas of political science, different systems of democratic government, the fall of communism and post-communist politics, as well as issues in Caribbean politics such as globalization, constitutional reform and regional integration. This third edition is fully revised and incorporates new material pertinent to the needs of students in the 21st century.
R 990.00
Introduction to Thermodynamics and Statistical Physics
This textbook offers an advanced undergraduate or initial graduate level introduction to topics such as kinetic theory, equilibrium statistical mechanics and the theory of fluctuations from a modern perspective. The aim is to provide the reader with the necessary tools of probability theory and thermodynamics (especially the thermodynamic potentials) to enable subsequent study at advanced graduate level. At the same time, the book offers a bird's eye view on arguments that are often disregarded in the main curriculum courses. Further features include a focus on the interdisciplinary nature of the subject and in-depth discussion of alternative interpretations of the concept of entropy. While some familiarity with basic concepts of thermodynamics and probability theory is assumed, this does not extend beyond what is commonly obtained in basic undergraduate curriculum courses.
R 1,539.34
R 1,446.91
Introduction to Sociology
This book provides an invaluable introduction to his historical and conceptual engagement with sociology.
R 1,099.00
Introduction To The Theory Of Probability, An
The Theory of Probability is a major tool that can be used to explain and understand the various phenomena in different natural, physical and social sciences. This book provides a systematic exposition of the theory in a setting which contains a balanced mixture of the classical approach and the modern day axiomatic approach. After reviewing the basis of the theory, the book considers univariate distributions, bivariate normal distribution, multinomial distribution, convergence of random variables and elements of stochastic process. Difficult ideas have been explained lucidly and augmented with explanatory notes, examples and exercises. The basic requirement for reading the book is the knowledge of mathematics at graduate level.This book tries to explain the difficult ideas in axiomatic approach to the theory in a clear and comprehensive manner. It addresses several unusual distributions including the power series distribution. Readers will find many worked-out examples and exercises with hints, which will make the book easily readable and engaging.The author is a former professor of the Indian Statistical Institute, India.
R 2,433.59
Introduction to Modeling and Analysis of Stochastic Systems
This book provides a self-contained review of all the relevant topics in probability theory. A software package called MAXIM, which runs on MATLAB, is made available for downloading. Vidyadhar G. Kulkarni is Professor of Operations Research at the University of North Carolina at Chapel Hill.
R 4,388.71
Introduction to the Mathematics of Money
This is an undergraduate textbook on the basic aspects of personal savings and investing with a balanced mix of mathematical rigor and economic intuition. It uses routine financial calculations as the motivation and basis for tools of elementary real analysis rather than taking the latter as given. Proofs using induction, recurrence relations and proofs by contradiction are covered. Inequalities such as the Arithmetic-Geometric Mean Inequality and the Cauchy-Schwarz Inequality are used. Basic topics in probability and statistics are presented. The student is introduced to elements of saving and investing that are of life-long practical use. These include savings and checking accounts, certificates of deposit, student loans, credit cards, mortgages, buying and selling bonds, and buying and selling stocks.The book is self contained and accessible. The authors follow a systematic pattern for each chapter including a variety of examples and exercises ensuring that the student deals with realities, rather than theoretical idealizations. It is suitable for courses in mathematics, investing, banking, financial engineering, and related topics.
R 2,231.20
Introduction to Vygotsky
This thoroughly updated third edition provides students with an accessible overview of Vygotsky’s work, combining reprints of key journal and text articles with rich editorial commentary. Lev Vygotsky provided the twentieth century with an enticing mix of intellectual traditions within an attempt to provide an account of the social formation of the mind. His legacy is an exciting, but at times challenging fusion of ideas.Retaining a multi-disciplinary theme, Introduction to Vygotsky, 3rd edition begins with a review of current interpretations of Vygotksy’s original work. Harry Daniels goes on to consider the development of Vygotsky’s work against a backdrop of political turmoil in the developing USSR. Major elements explored within the volume include the use of the 'culture' concept in social development theory, the development of means of describing social life, the concept of mediation, and implications for teaching, learning and assessmentThis book will be essential reading for Vygotskian students in developmental psychology, education and social sciences, as well as to students on specialised courses on cultural, cross-cultural and socio-cultural psychology, philosophical psychology, philosophy of science, history of psychology and Soviet/Russian history.
R 3,236.35
Informal Introduction To Stochastic Calculus With Applications, An
Most branches of science involving random fluctuations can be approached by Stochastic Calculus. These include, but are not limited to, signal processing, noise filtering, stochastic control, optimal stopping, electrical circuits, financial markets, molecular chemistry, population dynamics, etc. All these applications assume a strong mathematical background, which in general takes a long time to develop. Stochastic Calculus is not an easy to grasp theory, and in general, requires acquaintance with the probability, analysis and measure theory.The goal of this book is to present Stochastic Calculus at an introductory level and not at its maximum mathematical detail. The author's goal was to capture as much as possible the spirit of elementary deterministic Calculus, at which students have been already exposed. This assumes a presentation that mimics similar properties of deterministic Calculus, which facilitates understanding of more complicated topics of Stochastic Calculus.The second edition contains several new features that improved the first edition both qualitatively and quantitatively. First, two more chapters have been added, Chapter 12 and Chapter 13, dealing with applications of stochastic processes in Electrochemistry and global optimization methods.This edition contains also a final chapter material containing fully solved review problems and provides solutions, or at least valuable hints, to all proposed problems. The present edition contains a total of about 250 exercises.This edition has also improved presentation from the first edition in several chapters, including new material.
R 5,788.00
Introduction to Statistical Inference
This book is based upon lecture notes developed by Jack Kiefer for a course in statistical inference he taught at Cornell University. The notes were distributed to the class in lieu of a textbook, and the problems were used for homework assignments. Relying only on modest prerequisites of probability theory and cal culus, Kiefer's approach to a first course in statistics is to present the central ideas of the modem mathematical theory with a minimum of fuss and formality. He is able to do this by using a rich mixture of examples, pictures, and math ematical derivations to complement a clear and logical discussion of the important ideas in plain English. The straightforwardness of Kiefer's presentation is remarkable in view of the sophistication and depth of his examination of the major theme: How should an intelligent person formulate a statistical problem and choose a statistical procedure to apply to it? Kiefer's view, in the same spirit as Neyman and Wald, is that one should try to assess the consequences of a statistical choice in some quan titative (frequentist) formulation and ought to choose a course of action that is verifiably optimal (or nearly so) without regard to the perceived "attractiveness" of certain dogmas and methods.
R 2,507.05
Introduction to Module Theory
Module theory is a fundamental area of algebra, taught in most universities at the graduate level. This textbook, written by two experienced teachers and researchers in the area, is based on courses given in their respective universities over the last thirty years. It is an accessible and modern account of module theory, meant as a textbook for graduate or advanced undergraduate students, though it can also be used for self-study. It is aimed at students in algebra, or students who need algebraic tools in their work. Following the recent trends in the area, the general approach stresses from the start the use of categorical and homological techniques. The book includes self-contained introductions to category theory and homological algebra with applications to Module theory, and also contains an introduction to representations of quivers. It includes a very large number of examples of all kinds worked out in detail, mostly of abelian groups, modules over matrix algebras, polynomial algebras, or algebras given by bound quivers. In order to help visualise and analyse examples, it includes many figures. Each section is followed by exercises of all levels of difficulty, both computational and theoretical, with hints provided to some of them.
R 7,541.00
Introduction to Sociology
This third edition of this best-selling book confirms the ongoing centrality of feminist perspectives and research to the sociological enterprise, and introduces students to the wide range of feminist contributions in key areas of sociological concern. Completely revised, this edition includes:new chapters on sexuality and the mediaadditional material on race and ethnicity, disability and the bodymany new international and comparative examplesthe influence of theories of globalization and post-colonial studies.In addition, the theoretical elements have also been fully rethought in light of recent developments in social theory. Written by three experienced teachers and examiners, this book gives students of sociology and women's studies an accessible overview of the feminist contribution to all the key areas of sociological concern.
R 11,160.74
Introduction to the Economics of Financial Markets
There are many textbooks for business students that provide a systematic, introductory development of the economics of financial markets. However, there are as yet no introductory textbooks aimed at more easily daunted undergraduate liberal arts students. Introduction to the Economics of Financial Markets fills this gap by providing an extremely accessible introductory exposition of how economists analyze both how, and how well, financial markets organize theintertemporal allocation of scarce resources. The central theme is that the function of a system of financial markets is to enable consumers, investors, and managers of firms to effect mutually beneficial intertemporal exchanges. James Bradfield uses the standard concept of economic efficiency (ParetoOptimality) to assess the efficacy of the financial markets. He presents an intuitive, and introductory, understanding of the primary theoretical and empirical models that economists use to analyze financial markets, and then uses these models to discuss implications for public policy. Students who use this text will acquire an understanding of the economics of financial markets that will enable them to read, with some sophistication, articles in the public press about financial markets andabout public policy toward those markets. The book is addressed to undergraduate students in the liberal arts, but will also be useful for undergraduate and beginning graduate students in programs of business administration who want an understanding of how economists assess financial markets againstthe criteria of allocative and informational efficiency.
R 5,214.62
R 683.00
Introduction to Malliavin Calculus
This textbook offers a compact introductory course on Malliavin calculus, an active and powerful area of research. It covers recent applications, including density formulas, regularity of probability laws, central and non-central limit theorems for Gaussian functionals, convergence of densities and non-central limit theorems for the local time of Brownian motion. The book also includes a self-contained presentation of Brownian motion and stochastic calculus, as well as Lévy processes and stochastic calculus for jump processes. Accessible to non-experts, the book can be used by graduate students and researchers to develop their mastery of the core techniques necessary for further study.
R 5,633.55
Introduction to Sociolinguistics
This is an introduction to key themes and topics in contemporary sociolinguistics, focussing particularly on identity. This is a definitive introductory text to modern sociolinguistics that looks at the study of language and society through the concept of identity. It uses these sociolinguistic constructs of identity to tie together current concepts and methods in the field, offering a full overview of the discipline, both past and present. Deckert and Vickers adopt an interdisciplinary approach, introducing work from a variety of fields that examine sociolinguistic data, from linguistics to anthropology, sociology, psychology and education. The book moves from looking at language varieties and globalization to a close examination of language in social interaction, covering the concepts of ideology and power. Throughout, the authors offer keen insight into all of the topics, issues and methods that students of language and society will need to understand. The chapters contain a range of pedagogical features, including key terms, study questions, chapter summaries and further reading.This is an essential new text for all those studying contemporary sociolinguistics, suitable for undergraduates and postgraduates alike.
R 1,617.00
Introduction to Undergraduate Research in Computational and Mathematical Biology
Speaking directly to the growing importance of research experience in undergraduate mathematics programs, this volume offers suggestions for undergraduate-appropriate research projects in mathematical and computational biology for students and their faculty mentors. The aim of each chapter is twofold: for faculty, to alleviate the challenges of identifying accessible topics and advising students through the research process; for students, to provide sufficient background, additional references, and context to excite students in these areas and to enable them to successfully undertake these problems in their research.Some of the topics discussed include: • Oscillatory behaviors present in real-world applications, from seasonal outbreaks of childhood diseases to action potentials in neurons• Simulating bacterial growth, competition, and resistance with agent-based models and laboratory experiments• Network structure and the dynamics of biological systems• Using neural networks to identify bird species from birdsong samples• Modeling fluid flow induced by the motion of pulmonary ciliaAimed at undergraduate mathematics faculty and advanced undergraduate students, this unique guide will be a valuable resource for generating fruitful research collaborations between students and faculty.
R 2,015.00
Introduction to Nonparametric Item Response Theory
"This manuscript addresses an important and complex topic in test development in a manner that is precise and accurate, yet very accessible to students and practitioners with a modest background in classical test theory and item response theory. It also provides an excellent introduction to nonparametric IRT models for the more mathematically sophisticated student or faculty member who will welcome the extensive additional reading lists that are found at the conclusion of each chapter." —LINDA F. WIGHTMAN, School of Education, University of N. Carolina, Greensboro "I thoroughly enjoyed this book, and liked the clear way the authors have worked through the chapters and examples. There are rich examples with plenty of exercises that encouraged me to try these methods with my own data. The quality of the interpretation is rich, particularly in the polytomous item domain. It is well worth having on the shelf as a reference tool and as available for graduate students who wish to know more." —JOHN HATTIE, Head of the School of Education, University of Auckland, NZ This book introduces social and behavioral science students and researchers to the theory and practice of the highly powerful methods of nonparametric item response theory (IRT). Anyone who uses or constructs tests or questionnaires for measuring abilities, achievements, personality traits, attitudes, or opinions will find nonparametric IRT useful for designing and improving such measurements. The authors show how the broadness of the nonparametric item response models allows them to fit many data sets and remain powerful enough for implying useful measurement properties, such as the ordering of persons using the simple total score (number-correct for dichotomous item tests and sum of rating scale score for polytomous item tests) and the ordering of the items using the item means. Many data analysis examples are given in the book, and a user-friendly computer program used throughout the book supports data analysis using nonparametric IRT. Given the importance of school admissions, certification, personnel selection, marketing, social policy evaluation, quality-of-life measurements, and assessments of deviant behavior, this book is a must read for students or researchers engaged in this work.
R 4,958.36
