Description 
xxiii, 284 pages: : illustrations ; 24 cm 
Content Type 
text 
Format 
volume 
Series 
Chapman & Hall/CRC statistics in the social and behavioral sciences series 

Statistics in the social and behavioral sciences series.

Bibliography 
Includes bibliographical references (pages 261274) and indexes. 
Summary 
"Designed for graduate students and researchers in the behavioral, social, health, and medical sciences, this text employs generalized linear models, including mixed models, for categorical and limited dependent variables. Categorical variables include both nominal and ordinal variables. Discrete or continuous limited dependent variables have restricted support, whether through censorship or truncation or by their nature. The book incorporates examples of truncated counts, censored continuous variables, and doubly bounded continuous variables, such as percentages. " Provided by publisher. 

"This book is devoted to dependent variables other than those for which linear regression is appropriate. The authors argue that such dependent variables are, if anything, more common throughout the human sciences than the kind that suit linear regression. Presenting a broader but unified coverage in which the authors attempt to integrate concepts and ideas shared across models and types of data broader but unified coverage in which we attempt to integrate the concepts and ideas shared across models and types of data, especially regarding conceptual links between discrete and continuous limited dependent variables" Provided by publisher. 
Subject 
Variables (Mathematics)


Linear models (Statistics)


Mathematical constants.

Related Names 
Merkle, Edgar C., 1978 author.

ISBN 
1466551739 hardback 

9781466551732 hardback 
OCLC number 
774498093 
