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Introduction to Modern Scientific Programming and Numerical Methods
The ability to use computers to solve mathematical relationships is a fundamental skill for anyone planning a career in science or engineering. For this reason, numerical analysis is part of the core curriculum for just about every undergraduate physics and engineering department. But for most physics and engineering students, practical programming is a self-taught process.This book introduces the reader not only to the mathematical foundation but also to the programming paradigms encountered in modern hybrid software-hardware scientific computing. After completing the text, the reader will be well-versed in the use of different numerical techniques, programming languages, and hardware architectures, and will be able to select the appropriate software and hardware tool for their analysis.It can serve as a textbook for undergraduate courses on numerical analysis and scientific computing courses within engineering and physical sciences departments. It will also be a valuable guidebook for researchers with experimental backgrounds interested in working with numerical simulations, or for any new personnel working in scientific computing or data analysis.Key Features:• Includes examples of solving numerical problems in multiple programming languages, including MATLAB, Python, Fortran, C++, Arduino, Javascript, and Verilog.• Provides an introduction to modern high-performance computing technologies including multithreading, distributed computing, GPUs, microcontrollers, FPGAs, and web "cloud computing".• Contains an overview of numerical techniques not found in other introductory texts including particle methods, finite volume and finite element methods, Vlasov solvers, and molecular dynamics.Companions websites for this book can be accessed at https://plasmasimulationsbyexample.com/ and https://www.scientificprogrammingbook.com/.Lubos Brieda holds a Ph.D. in Aerospace and Mechanical Aerospace Engineering from the George Washington University in Washington, D.C., USA and an M.Sc. in Aerospace and Ocean Engineering from Virginia Tech in Blacksburg, VA, USA. He is the president of Particle in Cell Consulting, LLC, Westlake Village, CA, USA, while also serving as a part-time lecturer in the Department of Astronautical Engineering at University of Southern California, Los Angeles, CA. Dr. Brieda is the author of numerous simulation codes utilized by the aerospace and plasma modeling communities. Additionally, he maintains an online blog found at particleincell.com/blog focusing on scientific computing and since 2014 he has been teaching online courses on plasma simulations through his website.Joseph Wang is a Professor of Astronautics and Aerospace and Mechanical Engineering at the University of Southern California. Prof. Wang received his Ph.D in Aeronautics and Astronautics from Massachusetts Institute of Technology in 1991. Prof. Wang conducts research in computational physics, space technology, and space and planetary science. He and his students have
R 4,487.79
Introduction To Quantum Statistical Mechanics
This text represents the first translated edition of a special series of lectures delivered at the Physics Department of the Moscow State University.It can serve as an introduction to a large group ranging from final year undergraduates to researchers and others requiring and understanding of Quantum Statistics and Second Quantization methods.
R 1,026.00
Introduction to Economic Dynamics
An examples-driven treatment of introductory economic dynamics for students with a basic familiarity with spreadsheets. Shone approaches the subject with the belief that true understanding of a subject can only be achieved by students themselves setting out a problem and manipulating it experimentally. Although all economics students now have access to spreadsheets, they are often used for little more than graphing economic data. This book encourages students to go several stages further and set up and investigate simple dynamic models. The book presents the essentials of macro and micro economic dynamics, including: demand and supply dynamics, Keynesian dynamics, IS-LM, Inflation-unemployment, dynamics of the firm, rational expectations and saddle points, fiscal dynamics and the Maastricht Treaty and Chaos theory. The book contains 50 exercises. The support website contains an additional 100 questions for students and 100 for lecturers: www.cambridge.org/resources/economics.
R 7,511.29
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Introduction To The Analysis Of Algorithms, An
This textbook covers the mathematical foundations of the analysis of algorithms. The gist of the book is how to argue, without the burden of excessive formalism, that a given algorithm does what it is supposed to do. The two key ideas of the proof of correctness, induction and invariance, are employed in the framework of pre/post-conditions and loop invariants.The algorithms considered are the basic and traditional algorithms of computer science, such as Greedy, Dynamic and Divide & Conquer. In addition, two classes of algorithms that rarely make it into introductory textbooks are discussed. Randomized algorithms, which are now ubiquitous because of their applications to cryptography; and Online algorithms, which are essential in fields as diverse as operating systems (caching, in particular) and stock-market predictions.This self-contained book is intended for undergraduate students in computer science and mathematics.
R 1,461.93
Methodological Issues in Comparative Social Science
Focusing upon the area of social methodology, this volume examines diverse approaches toward sociological research. These include case-orientated research versus variable orientated research, a multi-methodological approach and comparing historical sequences. The book should serve as a source of reference for research into approaches to social methodology.
R 6,173.88
Matrix-Based Introduction to Multivariate Data Analysis
This is the first textbook that allows readers who may be unfamiliar with matrices to understand a variety of multivariate analysis procedures in matrix forms. By explaining which models underlie particular procedures and what objective function is optimized to fit the model to the data, it enables readers to rapidly comprehend multivariate data analysis. Arranged so that readers can intuitively grasp the purposes for which multivariate analysis procedures are used, the book also offers clear explanations of those purposes, with numerical examples preceding the mathematical descriptions.Supporting the modern matrix formulations by highlighting singular value decomposition among theorems in matrix algebra, this book is useful for undergraduate students who have already learned introductory statistics, as well as for graduate students and researchers who are not familiar with matrix-intensive formulations of multivariate data analysis.The book begins by explaining fundamental matrix operations and the matrix expressions of elementary statistics. Then, it offers an introduction to popular multivariate procedures, with each chapter featuring increasing advanced levels of matrix algebra. Further the book includes in six chapters on advanced procedures, covering advanced matrix operations and recently proposed multivariate procedures, such as sparse estimation, together with a clear explication of the differences between principal components and factor analyses solutions. In a nutshell, this book allows readers to gain an understanding of the latest developments in multivariate data science.
R 4,762.00
Introduction To Numerical Computation, An
Developed during ten years of teaching experience, this book serves as a set of lecture notes for an introductory course on numerical computation, at the senior undergraduate level. These notes contain the material that can be covered in a semester, together with a few optional sections for additional reading. Rather than surveying a large number of algorithms, the book presents the most important computational methods and emphasizes the underlying mathematical ideas. In most chapters, graphs and drawings are relied on, to build up intuition. The notes are written in a rather colloquial style, presenting the subject matter in the same form as it can be explained in a classroom. For instructors, this will minimize the amount of effort required to prepare their blackboard presentations.As prerequisites, the book only relies on standard calculus, an introductory course on matrices, and some basic computer programming skills. As a new feature, these notes are supplemented by two sets of videos from the author's Youtube channel. These videos contain a complete set of live lectures given in Spring 2015, together with a complete set of short tutorials, from 5 to 15 minutes each.A set of homework problems is included at the end of each chapter. Homework projects cover a variety of applications, in connection with population dynamics, engineering, mechanics, image reconstruction, etc. A complete set of solutions is available for instructors, upon request.
R 2,108.55
Introduction to the Environmental Physics of Soil, Water and Watersheds
This introductory 2004 textbook describes the nature of the Earth's environment and its physical processes so as to highlight environmental concerns arising from human use and misuse of soil and water resources. The author provides a thorough introduction to the basic issues regarding the sustainable, productive use of land resources that is vital in maintaining healthy rivers and good groundwater qualities. He develops a quantitative approach to studying these growing environmental concerns in a way that does not require prior knowledge of the physical sciences or calculus. The straightforward writing style, lack of prerequisite knowledge and copious illustrations make this textbook suitable for introductory university courses, as well as being a useful primer for research and management staff in environmental and resources management organisations. Each chapter ends with a set of student exercises for which solutions are available from solutions@cambridge.org.
R 4,675.39
Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos
This comprehensive Second Edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM). Updated to include extensive analysis of AMOS′ graphical interface, a new chapter on latent curve models and detailed explanations of the structural equation modeling process, this second edition is the ideal guide for those new to the field. The book includes: Learning objectives, key concepts and questions for further discussion in each chapter.Helpful diagrams and screenshots to expand on concepts covered in the texts.Real life examples from a variety of disciplines to show how SEM is applied in real research contexts.Exercises for each chapter on an accompanying companion website.A new glossary. Assuming no previous experience of the subject, and a minimum of mathematical knowledge, this is the ideal guide for those new to SEM and an invaluable companion for students taking introductory SEM courses in any discipline. Niels J. Blunch was formerly in the Department of Marketing and Statistics at the University of Aarhus, Denmark
R 3,979.43
Practical Introduction to Computer Vision with OpenCV
Explains the theory behind basic computer vision and provides a bridge from the theory to practical implementation using the industry standard OpenCV libraries Computer Vision is a rapidly expanding area and it is becoming progressively easier for developers to make use of this field due to the ready availability of high quality libraries (such as OpenCV 2). This text is intended to facilitate the practical use of computer vision with the goal being to bridge the gap between the theory and the practical implementation of computer vision. The book will explain how to use the relevant OpenCV library routines and will be accompanied by a full working program including the code snippets from the text. This textbook is a heavily illustrated, practical introduction to an exciting field, the applications of which are becoming almost ubiquitous. We are now surrounded by cameras, for example cameras on computers & tablets/ cameras built into our mobile phones/ cameras in games consoles; cameras imaging difficult modalities (such as ultrasound, X-ray, MRI) in hospitals, and surveillance cameras. This book is concerned with helping the next generation of computer developers to make use of all these images in order to develop systems which are more intuitive and interact with us in more intelligent ways. Explains the theory behind basic computer vision and provides a bridge from the theory to practical implementation using the industry standard OpenCV librariesOffers an introduction to computer vision, with enough theory to make clear how the various algorithms work but with an emphasis on practical programming issuesProvides enough material for a one semester course in computer vision at senior undergraduate and Masters levels Includes the basics of cameras and images and image processing to remove noise, before moving on to topics such as image histogramming; binary imaging; video processing to detect and model moving objects; geometric operations & camera models; edge detection; features detection; recognition in imagesContains a large number of vision application problems to provide students with the opportunity to solve real problems. Images or videos for these problems are provided in the resources associated with this book which include an enhanced eBook
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R 1,286.65
Introduction to the Replica Theory of Disordered Statistical Systems
This book describes the statistical mechanics of classical spin systems with quenched disorder. The first part of the book covers the physics of spin-glass states using results obtained within the framework of the mean field theory of spin glasses. The technique of replica symmetry breaking is explained in detail, along with a discussion of the underlying physics. The second part is devoted to the theory of critical phenomena in the presence of weak quenched disorder. This includes a systematic derivation of the traditional renormalization group theory, which is then used to obtain a new 'random' critical regime in disordered vector ferromagnets and in the two-dimensional Ising model. The third part of the book describes other types of disordered systems, relating to new results at the frontiers of modern research. The book is suitable for graduate students and researchers in the field of statistical mechanics of disordered systems.
R 6,575.36
Introduction to Mathematical Epidemiology
The book is a comprehensive, self-contained introduction to the mathematical modeling and analysis of infectious diseases. It includes model building, fitting to data, local and global analysis techniques. Various types of deterministic dynamical models are considered: ordinary differential equation models, delay-differential equation models, difference equation models, age-structured PDE models and diffusion models. It includes various techniques for the computation of the basic reproduction number as well as approaches to the epidemiological interpretation of the reproduction number. MATLAB code is included to facilitate the data fitting and the simulation with age-structured models.
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R 233.00
Fieldnotes in Qualitative Education and Social Science Research
Building upon the incorporation of fieldnotes into anthropological research, this edited collection explores fieldnote practices from within education and the social sciences.Framed by social justice concerns about power in knowledge production, this insightful collection explores methodological questions about the production, use, sharing, and dissemination of fieldnotes. Particular attention is given to the role of context and author positionality in shaping fieldnotes practices. Why do researchers take fieldnotes? What do their fieldnotes look like? What ethical concerns do different types of fieldnotes practices provoke? By drawing on case studies from numerous international contexts, including Argentina, Cameroon, Canada, Ghana, Hong Kong, Hungary, Kenya, Lebanon, Malawi, the Netherlands, South Africa, and the US, the text provides comprehensive and nuanced answers to these questions.This text will be of interest to academics and scholars conducting research across the social sciences, and in particular, in the fields of anthropology and education.
R 9,321.88
Introduction to Computation
Computation, itself a form of calculation, incorporates steps that include arithmetical and non-arithmetical (logical) steps following a specific set of rules (an algorithm). This uniquely accessible textbook introduces students using a very distinctive approach, quite rapidly leading them into essential topics with sufficient depth, yet in a highly intuitive manner. From core elements like sets, types, Venn diagrams and logic, to patterns of reasoning, calculus, recursion and expression trees, the book spans the breadth of key concepts and methods that will enable students to readily progress with their studies in Computer Science.
R 1,649.00
Schneider's Introduction to Public Health
Offering a thorough, accessible and lively overview of public health for students new to the field, Schneider’s Introduction to Public Health offers a broad-reaching, practical framework for understanding the forces and organizations of public health today. Through engaging, nontechnical language, illustrative real-world examples, and the current political, economic, and cultural news of the day, students gain a clear understanding of the scope of today's public health problems and possible solutions.Building on Schneider’s engaging and easy-to-read narrative approach, new author team Kruger, Moralez, and Siqueira draw on their diverse perspectives for the Seventh Edition to bring a greater focus on the social determinants of health, ecological approach, and life course experiences as a framework to understand public health in the 21st century. Key Features:• Updated statistics and information in every chapter illustrate the current state of public health.• Streamlined organization to better align with a traditional 16-week semester course. • New chapters addressing the COVID-19 pandemic, climate change, and mental health.• New chapter on research methods, that includes qualitative data.• Timely examples, including links to videos and websites, cover public health issues discussed in the text.• Alignment with Council on Education for Public Health (CEPH) criteria for undergraduate public health.
R 3,369.00
Communicating Social Science Research to Policy Makers
Using a set of rules as a guide for cost-effective policy analysis, Communicating Social Science Research to Policy Makers helps applied researchers avoid costly mistakes in policy planning and public administration research. Beginning with a practical approach to policy analysis, authors Roger J. Vaughan and Terry F. Buss show the reader how to prepare a nonbiased description of the problem to be studied, how to diagnose the causes of the problem, how to explore the various strategies for dealing with the problem and related issues, how to use formal forecasting projections, how to do cost-benefits analysis, how an analyst can decide what information to communicate, and strategies for the most-effective communication of policy analysis.
R 4,898.63
Introduction to Queueing Theory
This introductory textbook is designed for a one-semester course on queueing theory that does not require a course on stochastic processes as a prerequisite. By integrating the necessary background on stochastic processes with the analysis of models, the work provides a sound foundational introduction to the modeling and analysis of queueing systems for a broad interdisciplinary audience of students in mathematics, statistics, and applied disciplines such as computer science, operations research, and engineering. This edition includes additional topics in methodology and applications.Key features:• An introductory chapter including a historical account of the growth of queueing theory in more than 100 years.• A modeling-based approach with emphasis on identification of models • Rigorous treatment of the foundations of basic models commonly used in applications with appropriate references for advanced topics.• A chapter on matrix-analytic method as an alternative to the traditional methods of analysis of queueing systems.• A comprehensive treatment of statistical inference for queueing systems.• Modeling exercises and review exercises when appropriate. The second edition of An Introduction of Queueing Theory may be used as a textbook by first-year graduate students in fields such as computer science, operations research, industrial and systems engineering, as well as related fields such as manufacturing and communications engineering. Upper-level undergraduate students in mathematics, statistics, and engineering may also use the book in an introductory course on queueing theory. With its rigorous coverage of basic material and extensive bibliography of the queueing literature, the work may also be useful to applied scientists and practitioners as a self-study reference for applications and further research."...This book has brought a freshness and novelty as it deals mainly with modeling and analysis in applications as well as with statistical inference for queueing problems. With his 40 years of valuable experience in teaching and high level research in this subject area, Professor Bhat has been able to achieve what he aimed: to make [the work] somewhat different in content and approach from other books." - Assam Statistical Review of the first edition
R 4,069.91
Introduction to Research in Chinese Source Materials
This book serves as a succint and thorough guide to pursuing basic research in Chinese sources. Designed as a tool for both primary and secondary texts, it reviews terminology, modes of organization, and cultural implications that are relevant to Chinese writings in the humanities and social sciences.
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R 1,301.58
Introduction to the History of Human Development and Family Science
This comprehensive textbook offers an interdisciplinary introduction to the history of human development and family science. It provides insights from home economics, sociology and psychology to explain and analyze how the field was established and how it is developing and showcases the contribution of its unique transdisciplinary nature.Expert authors cover key topics and highlight historical contributions from women, scholars of color and LGBTQIA scholars; they emphasize and incorporate research that cuts across cultures; and examine current human development and family science trends in research and careers in their chosen fields. Subjects and issues covered include historical and contemporary studies of child development, adolescent development and young adulthood, adulthood and aging, family science, marriage formation and maintenance, parenthood, divorce, the role of grandparents and sibling relationships.Exploring how human development and family science can be used as a springboard into careers such as marriage and family therapy, social work, case management, teaching and research, this essential textbook is for all students of human development and family science.
R 2,711.00
Introduction to Bioinformatics and Clinical Scientific Computing
This textbook provides an introduction to computer science theory, informatics best practice, and the standards and legislation that apply to computing in a healthcare environment. It delivers an accessible discussion of databases (construction, interrogation and maintenance); networking (design and low-level application); programming (best practice rather than the specifics of any one language – design, maintenance, safety). It can be used to accompany the NHS Modernising Scientific Careers syllabus. It is also targeted towards those creating software rather than those using it, particularly computer scientists working in healthcare, specifically those in or close to the Physical Sciences, including radiotherapy, nuclear medicine, and equipment management and those working with genomics and health informatics. Features Combines all topics into one comprehensive introduction. Explores practical applications of theory to healthcare. Can be used to accompany the NHS Modernising Scientific Careers syllabus.
R 5,165.00
R 628.42
Aviation Social Science: Research Methods in Practice
This book is a guide that addressees social science research issues within the aviation industry. Studies involving human factors, personality, training systems evaluation, decision-making, crew resource management and situation awareness are used to illustrate not only the process, but also the outcomes that can emerge from social science research. The book describes the principles involved in conceptualising a research problem, obtaining management support, developing an appropriate timeframe, obtaining ethics approval and collecting and managing data. It also provides useful guidelines concerning the publication of research in magazines, academic journals and conference presentations. The topics are illustrated with aviation examples and the principles are deliberately broad. This book will be a useful guide for both novice and experienced researchers, especially pilots, air traffic controllers, maintenance personnel, aviation management, aviation researchers, safety personnel and undergraduate and postgraduate university students.
R 8,956.00
Introduction to Sociolinguistics
AN INTRODUCTION TO SOCIOLINGUISTICS The new eighth edition of An Introduction to Sociolinguistics brings this valuable, bestselling textbook up to date with the latest in sociolinguistic research and pedagogy, providing a broad overview of the study of language in social context with accessible coverage of major concepts, theories, methods, issues, and debates within the field. This leading text helps students develop a critical perspective on language in society as they explore the complex connections between societal norms and language use. The eighth edition contains new and updated coverage of such topics as the societal aspects of African American Vernacular English (AAVE), multilingual societies and discourse, gender and sexuality, ideologies and language attitudes, and the social meanings of linguistic forms. Organized in four sections, this text first covers traditional language issues such as the distinction between languages and dialects, identification of regional and social variation within languages, and the role of context in language use and interpretation. Subsequent chapters cover approaches to research in sociolinguistics—variationist sociolinguistics, ethnography, and discourse analytic research—and address both macro– and micro-sociolinguistic aspects of multilingualism in national, transnational, global, and digital contexts. The concluding section of the text looks at language in relation to gender and sexuality, education, and language planning and policy issues. Featuring examples from a variety of languages and cultures that illustrate topics such as social and regional dialects, multilingualism, and the linguistic construction of identity, this text provides perspectives on both new and foundational research in sociolinguistics and linguistic anthropology. An Introduction to Sociolinguistics, Eighth Edition, remains the ideal textbook for upper-level undergraduate and graduate course in sociolinguistics, language and society, linguistic anthropology, applied and theoretical linguistics, and education. The new edition has also been updated to support classroom application with a range of effective pedagogical tools, including end-of-chapter written exercises and an instructor website, as well as materials to support further learning such as reading suggestions, research ideas, and an updated companion student website containing a searchable glossary, a review guide, additional exercises and examples, and links to online resources.
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R 3,867.00
Introduction to the Rasch Model with Examples in R
An Introduction to the Rasch Model with Examples in R offers a clear, comprehensive introduction to the Rasch model along with practical examples in the free, open-source software R.It is accessible for readers without a background in psychometrics or statistics, while also providing detailed explanations of the relevant mathematical and statistical concepts for readers who want to gain a deeper understanding. Its worked examples in R demonstrate how to apply the methods to real-world examples and how to interpret the resulting output.In addition to motivating and presenting the Rasch model, the book covers different methods for parameter estimation and for assessing fit and differential item functioning (DIF). While focusing on the Rasch model, it also addresses a variety of other dichotomous and polytomous Rasch and item response theory (IRT) models, such as two-parameter logistic (2PL) and Partial Credit models, and extensions, including mixture Rasch models and computerized adaptive testing (CAT).Theory is presented in a self-contained way. All necessary mathematical and statistical background is contained in the chapters and appendices. The book also provides detailed, step-by-step instructions for getting started with R and using the eRm, mirt, TAM and rstan packages for fitting Rasch models.
R 3,437.00
Introduction to Sociology
This has proved to be an excellent introduction to what sociology is and what kinds of information and useful knowledge the practice of this discipline provides. In discussing family structure, the relation between the economy and society, social class, social control, and religion, the author uses appropriate examples of African experience. For this third edition, Dr Goldthorpe has thoroughly revised the text to take account of the changes affecting men and women in contemporary societies. Major revisions have been made to the chapter on the family, in the light of recent research on child care. The chapter on social class has been extensively revised to incorporate new material (including work by the author's namesake J. H. Goldthorpe) on social mobility and inequality in contemporary societies, and the debate on socialism has been updated. Changes have been made too in the passages on hunting and food-gathering societies, and on peasants, while there has been a general up dating of statistics, references, and suggestions for further reading throughout.
R 1,754.26
Introduction to Neural and Cognitive Modeling
This textbook provides a general introduction to the field of neural networks. Thoroughly revised and updated from the previous editions of 1991 and 2000, the current edition concentrates on networks for modeling brain processes involved in cognitive and behavioral functions. Part one explores the philosophy of modeling and the field’s history starting from the mid-1940s, and then discusses past models of associative learning and of short-term memory that provide building blocks for more complex recent models. Part two of the book reviews recent experimental findings in cognitive neuroscience and discusses models of conditioning, categorization, category learning, vision, visual attention, sequence learning, behavioral control, decision making, reasoning, and creativity. The book presents these models both as abstract ideas and through examples and concrete data for specific brain regions. The book includes two appendices to help ground the reader: one reviewing the mathematics used in network modeling, and a second reviewing basic neuroscience at both the neuron and brain region level. The book also includes equations, practice exercises, and thought experiments.
R 9,348.62
Introduction To Statistical Mechanics
The science of 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 aim of this book is to provide a clear, logical, and self-contained treatment of equilibrium statistical mechanics starting from Boltzmann's two statistical assumptions, and to present a wide variety of applications to diverse physical assemblies. The coverage is enhanced and extended through an extensive set of accessible problems. An appendix provides an introduction to non-equilibrium statistical mechanics through the Boltzmann equation and its extensions. The book assumes 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 assumed, although the book 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 this text 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 3,178.50
R 780.00
Introduction to the Human Development and Capability Approach
Aimed at undergraduates and post-graduates in the social sciences, as well as development practitioners, this textbook provides an introduction to the human development and capability approach; it also clarifies key concepts and fosters debate on a number of critical issues. The book offers new perspectives on a wide range of topics, which include the conceptualisation and measurement of well-being and inequality; the role of markets and economic growth in promoting development; the importance of democracy and public debate; culture and religion; health; equality and justice; and the connections between social and economic policy in addressing poverty and inequality. Case studies from across the world are used to illustrate concepts and highlight the relevance of the approach in addressing contemporary development challenges. A set of questions accompanies each chapter for seminar discussion to help readers assimilate central points and apply the approach to diverse realities. This book provides a comprehensive introduction to the human development and capability approach for students and practitioners world-wide.
R 9,332.17
Introduction to Stochastic Processes
This is an essential textbook for senior undergraduate and graduate students of statistics, stochastic processes, stochastic finance, and probability theory. It covers all the important notations of probability theory and stochastic processes that are crucial for students to overcome their initial challenges during their studies. It thoroughly discusses the concepts of stochastic processes, both Markov and non-Markov processes, as well as stochastic calculus. With a special focus on finance, the book dedicates three chapters to explore the applications of stochastic processes in options, credit risk and insurance.Organized into sixteen chapters and one appendix, the book takes the readers to a well-organized learning. To fully grasp the intricacies of stochastic processes, students are expected to have a solid grounding in real analysis, linear algebra, and differential equations. Practical examples are emphasized throughout the book, carefully selected from various fields. The exercises at the end of each chapter are designed with the same objective in mind. Stochastic processes play a significant role in various scientific disciplines and real-life applications.
R 4,633.14
Introduction to Econometrics, Global Edition
Learn more about modern Econometrics with this comprehensive introduction to the field, featuring engaging applications and bringing contemporary theories to life. Introduction to Econometrics, 4th Edition, Global Edition by Stock and Watson is the ultimate introductory guide that connects modern theory with motivating, engaging applications. The text ensures you get a solid grasp of this challenging subject's theoretical background, building on the philosophy that applications should drive the theory, not the other way around. The latest edition maintains the focus on currency, focusing on empirical analysis and incorporating real-world questions and data by using results directly relevant to the applications. The text contextualises the study of Econometrics with a comprehensive introduction and review of economics, data, and statistics before proceeding to an extensive regression analysis studying the different variables and regression parameters. With a large data set increasingly used in Economics and related fields, a new chapter dedicated to Big Data will help you learn more about this growing and exciting area. Sharing a variety of resources and tools to help your understanding and critical thinking of the topics introduced, such as General Interest boxes, or end-of-chapter, and empirical exercises and summaries, this industry-leading text will help you acquire a sophisticated knowledge of this fascinating subject. Reach every student by pairing this text with Pearson MyLab® Economics MyLab is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab® personalises the learning experience and improves results for each student. If you would like to purchase both the physical text and MyLab Economics search for: 9781292264561 Introduction to Econometrics, 4th Edition, Global Edition with MyLab Economics Package consists of: 9781292264455 Introduction to Econometrics, 4th Edition, Global Edition9781292264516 Introduction to Econometrics, 4th Edition, Global Edition MyLab Economics9780136879787 Introduction to Econometrics, 4th Edition, Global Edition Pearson eText Pearson MyLab® Economics is not included. Students, if Pearson MyLab Economics is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN. Pearson MyLab® Economics should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.
R 2,353.00
Introduction to Empirical Processes and Semiparametric Inference
Kosorok’s brilliant text provides a self-contained introduction to empirical processes and semiparametric inference. These powerful research techniques are surprisingly useful for developing methods of statistical inference for complex models and in understanding the properties of such methods. This is an authoritative text that covers all the bases, and also a friendly and gradual introduction to the area. The book can be used as research reference and textbook.
R 5,493.93
Applied Statistics for Environmental Science with R
Applied Statistics for Environmental Science with R presents the theory and application of statistical techniques in environmental science and aids researchers in choosing the appropriate statistical technique for analyzing their data. Focusing on the use of univariate and multivariate statistical methods, this book acts as a step-by-step resource to facilitate understanding in the use of R statistical software for interpreting data in the field of environmental science. Researchers utilizing statistical analysis in environmental science and engineering will find this book to be essential in solving their day-to-day research problems.
R 3,531.00
Introduction to Neural and Cognitive Modeling
This textbook provides a general introduction to the field of neural networks. Thoroughly revised and updated from the previous editions of 1991 and 2000, the current edition concentrates on networks for modeling brain processes involved in cognitive and behavioral functions. Part one explores the philosophy of modeling and the field’s history starting from the mid-1940s, and then discusses past models of associative learning and of short-term memory that provide building blocks for more complex recent models. Part two of the book reviews recent experimental findings in cognitive neuroscience and discusses models of conditioning, categorization, category learning, vision, visual attention, sequence learning, behavioral control, decision making, reasoning, and creativity. The book presents these models both as abstract ideas and through examples and concrete data for specific brain regions. The book includes two appendices to help ground the reader: one reviewing the mathematics used in network modeling, and a second reviewing basic neuroscience at both the neuron and brain region level. The book also includes equations, practice exercises, and thought experiments.
R 4,015.45
Introduction to the Rasch Model with Examples in R
An Introduction to the Rasch Model with Examples in R offers a clear, comprehensive introduction to the Rasch model along with practical examples in the free, open-source software R.It is accessible for readers without a background in psychometrics or statistics, while also providing detailed explanations of the relevant mathematical and statistical concepts for readers who want to gain a deeper understanding. Its worked examples in R demonstrate how to apply the methods to real-world examples and how to interpret the resulting output.In addition to motivating and presenting the Rasch model, the book covers different methods for parameter estimation and for assessing fit and differential item functioning (DIF). While focusing on the Rasch model, it also addresses a variety of other dichotomous and polytomous Rasch and item response theory (IRT) models, such as two-parameter logistic (2PL) and Partial Credit models, and extensions, including mixture Rasch models and computerized adaptive testing (CAT).Theory is presented in a self-contained way. All necessary mathematical and statistical background is contained in the chapters and appendices. The book also provides detailed, step-by-step instructions for getting started with R and using the eRm, mirt, TAM and rstan packages for fitting Rasch models.
R 9,955.55
