Generalized linear models for categorical and continuous limited dependent variables Smithson, Michael

By:

Smithson, Michael

Contributor(s):

Merkle, Edgar C

Material type: Text

TextSeries: Statistics in the Social and Behavioral SciencesPublication details: Boca Raton CRC Press 2014Description: xxiii, 284 pISBN:

9781466551732

Subject(s):

DDC classification:

511.326 S6G3

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.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Book	Ahmedabad	Non-fiction	511.326 S6G3 (Browse shelf(Opens below))	Available		181470

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	511.324 T6B3 Bent functions: results and applications to cryptography	511.326 S6G3 Generalized linear models for categorical and continuous limited dependent variables	511.33 S2E7 Equality resemblance and order	511.34 C4M6 Model theory	511.35 H6I6 Introduction to automata theory, languages and computation	Next

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.

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