عنوان

Generalized linear models with examples in R /

(Number (ISBN

1441901175

(Number (ISBN

1441901183

(Number (ISBN

9781441901170

(Number (ISBN

9781441901187

Erroneous ISBN

9781441901170

Title Proper

Generalized linear models with examples in R /

General Material Designation

[Book]

First Statement of Responsibility

Peter K. Dunn, Gordon K. Smyth.

Place of Publication, Distribution, etc.

New York, NY :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

2018.

Specific Material Designation and Extent of Item

1 online resource (xx, 562 pages) :

Other Physical Details

illustrations

Series Title

Springer texts in statistics,

ISSN of Series

1431-875X

Text of Note

Includes bibliographical references and indexes.

Text of Note

Statistical models -- Linear regression models -- Linear regression models: diagnostics and model-building -- Beyond linear regression: the method of maximum likelihood -- Generalized linear models: structure -- Generalized linear models: estimation -- Generalized linear models: inference -- Generalized linear models: diagnostics -- Models for proportions: binomial GLMs -- Models for counts: Poisson and negative binomial GLMs -- Positive continuous data: gamma and inverse Gaussian GLMs -- Tweedie GLMs -- Extra problems -- Appendix A: Using R for data analysis -- Appendix B: The GLMsData package -- Index: Data sets -- Index: R commands -- Index: General Topics.

0

Text of Note

This textbook presents an introduction to multiple linear regression, providing real-world data sets and practice problems. A practical working knowledge of applied statistical practice is developed through the use of these data sets and numerous case studies. The authors include a set of practice problems both at the end of each chapter and at the end of the book. Each example in the text is cross-referenced with the relevant data set, so that readers can load the data and follow the analysis in their own R sessions. The balance between theory and practice is evident in the list of problems, which vary in difficulty and purpose. This book is designed with teaching and learning in mind, featuring chapter introductions and summaries, exercises, short answers, and simple, clear examples. Focusing on the connections between generalized linear models (GLMs) and linear regression, the book also references advanced topics and tools that have not typically been included in introductions to GLMs to date, such as Tweedie family distributions with power variance functions, saddlepoint approximations, likelihood score tests, modified profile likelihood, and randomized quantile residuals. In addition, the authors introduce the new R code package, GLMsData, created specifically for this book. Generalized Linear Models with Examples in R balances theory with practice, making it ideal for both introductory and graduate-level students who have a basic knowledge of matrix algebra, calculus, and statistics.--

Source for Acquisition/Subscription Address

00024965

Stock Number

978-1-4419-0117-0

International Standard Book Number

9781441901170

International Standard Book Number

9781441901194

Linear models (Statistics)

R (Computer program language)

Linear models (Statistics)

R (Computer program language)

MAT029000

PBT

PBT

Number

Edition

Class number

Dunn, Peter K.

Smyth, Gordon K.

Date of Transaction

20200823022855.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y