| 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 |
