Advanced regression models with SAS and R (Record no. 214878)

000 -LEADER
fixed length control field aam a22 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200318b 2019 ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781138049017
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.536
Item number K6A2
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Korosteleva, Olga
9 (RLIN) 395225
245 ## - TITLE STATEMENT
Title Advanced regression models with SAS and R
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc CRC Press
Date of publication, distribution, etc 2019
Place of publication, distribution, etc Boca Raton
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 310 p.
Other physical details Includes illustrations, reference and index
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Table of Contents<br/><br/>Introduction : general and generalized linear regression models<br/>Regression models for response with right-skewed distribution<br/>Regression models for binary response<br/>Regression models for categorical response<br/>Regression models for count response<br/>Regression models for over-dispersed count response<br/>Regression models for proportion response<br/>General linear regression models for repeated measures data<br/>Generalized linear regression model for repeated measures data<br/>Hierarchical regression model.<br/><br/>
520 ## - SUMMARY, ETC.
Summary, etc 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 an interpretation of estimated regression coefficients and prediction of response for given values of predictors.<br/>Features:<br/>Presents the theoretical framework for each regression.<br/>Discusses data that are categorical, count, proportions, right-skewed, longitudinal and hierarchical.<br/>Uses examples based on real-life consulting projects.<br/>Provides complete SAS and R codes for each example.<br/>Includes several exercises for every regression.<br/>Advanced Regression Models with SAS and R is 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.<br/><br/>https://www.routledge.com/Advanced-Regression-Models-with-SAS-and-R/Korosteleva/p/book/9781138049017
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R (Computer program language)
9 (RLIN) 395226
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element SAS (Computer file)
9 (RLIN) 395227
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Regression analysis
9 (RLIN) 395228
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent location Current location Shelving location Date acquired Source of acquisition Cost, normal purchase price Item location Total Checkouts Total Renewals Full call number Barcode Date last seen Date last borrowed Cost, replacement price Koha item type
          Non-fiction Vikram Sarabhai Library Vikram Sarabhai Library General Stacks 19/03/2020 5 5.00 Slot 1427 (0 Floor, East Wing) 1 1 519.536 K6A2 201688 29/07/2020 07/07/2020 7259.03 Books

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