Regression for Health and Social Science. Applied Linear Models with R, Hardback - ***

Using every-day examples and numerous exercises, this text covers the basics of linear models with a minimum of mathematics. The emphasis is on iss...

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Publisher: Taylor & Francis LtdAuthor(s): John P. HoffmannIllustration(s): 72 Line drawings, black and white; 13 Tables, black and white; 72 Illust...

Reducere. Learn regression analysis at a deeper level with guidance written in everyday language Intuitively understand regression analysis by focusing on co...

This textbook presents an introduction to generalized linear models, complete with real-world data sets and practice problems, making it applicable...

Reducere. There are many books that are excellent sources of knowledge about individual stastical tools (survival models, general linear models, etc.), but t...

Publisher: SAGE Publications LtdAuthor(s): Peter MartinNumber of pages: 200Collection: The SAGE Quantitative Research KitPublication date: 2022Dime...

This Book is the outcome of a joint effort to systematically describe the use of R-INLA for analysing time series and showcasing the code and descr...

Reducere. Introduction.- Exploratory and Descriptive Methods.- Basic Statistical Methods.- Linear Regression.- Logistic Regression.- Survival Analysis.- Repe...

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This book focuses on tools and techniques for building valid regression models using real-world data. A key theme throughout the book is that it on...

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Contributor(s): Author: Eric VittinghoffAuthor: David V. GliddenAuthor: Stephen C. ShiboskiThis new book provides a unified, in-depth, readable int...

Linear algebra permeates mathematics, as well as physics and engineering. This book treats diagonalization as a central tool in solving complicated...

DescriptionA valuable overview of the most important ideas and results in statistical modeling Written by a highly-experienced author, Foundations ...

This book covers the basic applications of multiple linear regression all the way through to more complex regression applications and extensions. W...

A comprehensive reference to the theory of linear discrete-time-parameter systems. The book's outstanding feature is the unified presentation, incl...

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Publisher: Elsevier Science & TechnologyAuthor(s): Marc (Population Ecologist, Swiss Ornithological Institute, Switzerland) KeryIllustration(s): Ap...

Presents a special solution of underdetermined linear systems where the number of nonzero entries in the solution is very small compared to the tot...

As the Solutions Manual, this book is meant to accompany the main title, Introduction to Linear Regression Analysis, Fifth Edition. Clearly balanci...

This book is a learning resource on inferential statistics and regression analysis. It teaches how to do a wide range of statistical analyses in bo...

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STAT2 is designed to help students build on their statistical knowledge in order to analyze rich datasets using statistical models. The book develo...

Reducere. Updates to this new edition include: more coverage of regression assumptions and model fit; additional material on residual analysis; more examples...

Revised edition of: Applied Bayesian hierarchical methods. c2010.

Publisher: Cengage Learning, IncAuthor(s): Azhar NizamNumber of pages: 160Publication date: 2013Dimensions: 276 x 216 x 8Cover type: Paperback / so...

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Generalized Linear Models for Bounded and Limited Quantitative Variables, Paperback

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Researchers in the social sciences are faced with complex data sets in which they have relatively small samples and many variables (high dimensiona...