Search results for "Introduction to Data Analysis Using IBM SPSS"
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Angewandte Regressionsanalyse mit SPSS
Regressionsanalysen erlauben vielfaltige Aussagen Uber Bezie- hungen zwischen quantitativen Variablen. Angewandte Regressi- onsanalysen werden mit vorliegenden Datensatzen auf elektroni- schen Rechenanlagen durchgefUhrt. Dort installierte statisti- sche Programmpakete wie SPSS (Statistical Package for Social Sciences) verfUgen in der Regel Uber Regressionsprozeduren. Diese Prozeduren liefern dem Nutzer das Ergebnis einer Regres- sionsanalyse in Form von Standardausdrucken, die es zu inter- pretieren gilt. Teilweise bedingt durch die Vielfalt ausgedruck- ter Ergebnisse, sind viele Nutzer mit einer solchen Interpreta- tion Uberfordert. Die "Angewandte Regressionsanalyse mit SPSS" soll hier eine auch auf andere statistische Prograrnrnpakete Ubertragbare Hilfestellung geben. Dabei steht die statistische Analyse und nicht eine Beschreibung des genutzten Programmpa- kets, namlich SPSS/PC], im Vordergrund. Die "Angewandte Regressionsanalyse mit SPSS" gliedert sich in vier Kapitel. In der EinfUhrung (Kapitel 1) werden die Grundla- gen fUr eine solche Analyse vorgestellt. Das sind die SPSS-Pro- zedur REGRESSION, ein fUr die Analyse genutzter Datensatz sowie das Standardmodell der linearen Regression. Die anschlieBenden beiden Kapitel beziehen sich auf einfache lineare Regressions- analysen. Kapitel 2 liefert diesbezUglich eine klassische ag- gregierte Analyse, Kapitel 3 die zugehorige, auch auf einzelne Beobachtungsfalle bezogene Modelldiagnose. In Kapitel 4 werden Analyse und Diagnose auf mehrfache lineare Regressionen verall- gemeinert. Eine Behandlung des Problems der Kollinearitat kommt hinzu. Daneben finden sich in Kapitel 4 Verbindungen der Re- gressions- zur Kovarianz- und Varianzanalyse. Der Anhang umfaBt einige wichtige statistische und mathematische Hilfs ittel fUr angewandte Regressionsanalysen, zusatzlich einen Ablaufplan fUr solche Analysen und ein Symbolverzeichnis.
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Applied SQL Data Analytics Workshop
Take a step-by-step approach to learning SQL data analysis in this interactive workshop that uses fun exercises and activities to make learning data analytics for beginners easy and approachable.Key FeaturesExplore ways to use SQL for data analytics and gain key insights from your dataStudy advanced analytics, such as geospatial and text analyticsDiscover ways to integrate your SQL pipelines with other analytics technologiesBook DescriptionEvery day, businesses operate around the clock and a huge amount of data is generated at a rapid pace. Hidden in this data are key patterns and behaviors that can help you and your business understand your customers at a deep, fundamental level. Are you ready to enter the exciting world of data analytics and unlock these useful insights?Written by a team of expert data scientists who have used their data analytics skills to transform businesses of all shapes and sizes, The Applied SQL Data Analytics Workshop is a great way to get started with data analysis, showing you how to effectively sieve and process information from raw data, even without any prior experience.The book begins by showing you how to form hypotheses and generate descriptive statistics that can provide key insights into your existing data. As you progress, you'll learn how to write SQL queries to aggregate, calculate and combine SQL data from sources outside of your current dataset. You'll also discover how to work with different data types, like JSON. By exploring advanced techniques, such as geospatial analysis and text analysis, you'll finally be able to understand your business at a deeper level. Finally, the book lets you in on the secret to getting information faster and more effectively by using advanced techniques like profiling and automation.By the end of The Applied SQL Data Analytics Workshop, you'll have the skills you need to start identifying patterns and unlocking insights in your own data. You will be capable of looking and assessing data with the critical eye of a skilled data analyst.What you will learnUnderstand what data analytics is and why it is importantExperiment with data analytics using basic and advanced queriesInterpret data through descriptive statistics and aggregate functionsExport data from external sources using powerful SQL queriesWork with and manipulate data using SQL joins and constraintsSpeed up your data analysis workflow by automating tasks and optimizing queriesWho this book is forIf you are a database engineer who is looking to transition into analytics or someone who knows SQL basics but doesn't know how to use it to create business insights, then this book is for you.
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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 2,817.87
Parallel Image Analysis: Theory And Applications
This volume deals with the following topics: 2-D, 3-D automata and grammars, parallel architecture for image processing, parallel digital geometry algorithms, data allocation strategies for parallel image processing algorithms, complexity analysis of parallel image operators. The contributions are written by leading experts in the fields of models, algorithms and architectures for parallel image processing.
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Performance Analysis of Data-Sharing Environments
Large transaction-processing applications, such as banking, flight reservations, telecommunications, and networking, demand increasingly high throughput and fast response times. Coupling multiple systems for database transaction processing can provide these systems with higher capacity and availability at a lower cost. Data sharing is one promising architecture for such an environment.This monograph develops a comprehensive model for analyzing the design and performance of a complex data-sharing environment that consists of multiple, loosely coupled transaction-processing nodes with a common database at the disk level. By capturing the salient features of this data sharing architecture database buffers at each node with their buffer management policies, concurrency control, buffer coherency, nonuniform database access, and CPU queueing delay - the model can be used to answer a number of design questions about scalability, buffer utilization, skewed access, policy selection, and optimal system configuration. Included are two new submodels, for private and shared buffers.
R 927.20
Digital Image Processing and Analysis
A NATO advanced Study Institute took place at Bonas from June 14th to June 25th 1976 on "Digital Image Processing and Analysis". This book is the lasting result of a successful meeting, where the best specialists of the field could exchange their ideas and results. The papers are arranged so as to present first the more general and tutorial articles and then the more specific ones on applications. The general topics cover two dimensional transforms, techniques of image restoration, recursive filters, segmentation and analysis of image parts, some points of view from psychology and physiology, and problems of software and processing. The application fields concerned are remote sensing, medical applications, TV image compression,and optical character recognition. The editors wish to thank the Scientific Affairs Division of NATO for the edition of this book. Acknowledgment: This ASI has been made possible by the financial support of the NATO Scientific Affairs Division and D. R. M. E. and the material support of IRIA and the Institut de Programmation. VII TABLE OF CONTENTS William K. Pratt Two dimensional unitary transforms 1 T. S. Huang Two-dimensional Fourier transform 23 T. S. Huang Algebraic methods of image restoration 41 S. Castan Image enhancement and restoration 47 T. S. Huang Film grain noise 63 K. G. Beauchamp Two-dimensional recursive digital filtering 69 S. Attasi A new approach to 2D-recursive filtering 81 V. Cappellini Some efficient two-dimensional recursive digital filters 87 T. S. Durrani and C. E.
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Introduction to Web Development
An Introduction to Web Development: A Conceptual Approach introduces students to essential concepts of web development like design, copyright, netiquette, accessibility, and privacy and to essential content types like text, image, animation, sound, and video.Students explore topics such as: Internet cookies and how these may help or harm; avoiding Internet-based threats, like viruses, ransomware, and phishing attacks; ethics of image editing and selection; how web filtering provides different results of searches, newsfeeds, and other recommendations based on user characteristics; and the role of web-based applications and fake news.The second edition features new content focused on recent web-based threats to democratic societies. Events involving ransomware attacks, fake news, Russian dysinformatyea campaigns, United States voter manipulation, social media-based harassment of individuals, as well as the consequences of phishing certain high-profile individuals are discussed. Additionally, concepts central to media literacy are covered to help students counteract the influence of fake news and voter manipulation. Each chapter concludes with a self-quiz that contains topics for further discussion. The second edition contains an added chapter that introduces students to coding and web interactivity by encouraging students to adapt simple examples.By making use of free software in the embedded examples, An Introduction to Web Development allows students to learn important web development tools without incurring excessive expenses. The text effectively blends technical information and practical instruction. The book can be used in courses on introductory web development, digital literacy, and computer literacy with an internet focus.
R 6,475.02
