عنوان

Advanced regression models with SAS and R /

(Number (ISBN

1315169827

(Number (ISBN

135169006X

(Number (ISBN

1351690078

(Number (ISBN

1351690086

(Number (ISBN

9781315169828

(Number (ISBN

9781351690065

(Number (ISBN

9781351690072

(Number (ISBN

9781351690089

Erroneous ISBN

1138049018

Erroneous ISBN

9781138049017

Title Proper

Advanced regression models with SAS and R /

General Material Designation

[Book]

First Statement of Responsibility

Olga Korosteleva.

Place of Publication, Distribution, etc.

Boca Raton :

Name of Publisher, Distributor, etc.

CRC Press, Taylor & Francis Group,

Date of Publication, Distribution, etc.

[2019]

Date of Publication, Distribution, etc.

©2019

Specific Material Designation and Extent of Item

1 online resource :

Other Physical Details

illustrations

Text of Note

Includes bibliographical references and index.

Text of Note

Introduction : general and generalized linear regression models -- Regression models for response with right-skewed distribution -- Regression models for binary response -- Regression models for categorical response -- Regression models for count response -- Regression models for over-dispersed count response -- Regression models for proportion response -- General linear regression models for repeated measures data -- Generalized linear regression model for repeated measures data -- Hierarchical regression model.

0

Text of Note

Advanced Regression Models with SAS and R exposes the reader to the modern world of regression analysis. The material covered by this book consists of regression models that go beyond linear regression, including models for right-skewed, categorical and hierarchical observations. The book presents the theory as well as fully worked-out numerical examples with complete SAS and R codes for each regression. The emphasis is on model accuracy and the interpretation of results. For each regression, the fitted model is presented along with interpretation of estimated regression coefficients and prediction of response for given values of predictors. Features: Presents the theoretical framework for each regression. Discusses data that are categorical, count, proportions, right-skewed, longitudinal and hierarchical. Uses examples based on real-life consulting projects. Provides complete SAS and R codes for each example. Includes several exercises for every regression. Advanced Regression Models with SAS and Ris designed as a text for an upper division undergraduate or a graduate course in regression analysis. Prior exposure to the two software packages is desired but not required. The Author: Olga Korosteleva is a Professor of Statistics at California State University, Long Beach. She teaches a large variety of statistical courses to undergraduate and master's students. She has published three statistical textbooks. For a number of years, she has held the position of faculty director of the statistical consulting group. Her research interests lie mostly in applications of statistical methodology through collaboration with her clients in health sciences, nursing, kinesiology, and other fields.

Source for Acquisition/Subscription Address

Ingram Content Group

Stock Number

9781351690072

Title

Advanced regression models with SAS and R.

International Standard Book Number

9781138049017

SAS (Computer file)

SAS (Computer file)

R (Computer program language)

Regression analysis, Textbooks.

MATHEMATICS-- Applied.

MATHEMATICS-- Probability & Statistics-- General.

R (Computer program language)

Regression analysis.

MAT-- 003000

MAT-- 029000

Number

Edition

Class number

Book number

Korosteleva, Olga

Date of Transaction

20200822160526.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y