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Analysis of microdata. (English) Zbl 1100.62003

Berlin: Springer (ISBN 3-540-29605-0/hbk). x, 313 p. (2006).
The book deals with the analysis of microdata where the usual conditional expectation functions (CEF) modeling is changed towards conditional probability functions (CPF). Microdata consist of values which are of discrete nature. So the variables usually follow discrete distributions or are approximated to continuous distributions.
Models suited to binary, multinomial and ordered observations are considered. Probit and logit models are frequently used. Tobin’s corner solution model, duration models, and event history models are also fitted for count and time elapsed data. Numerous illustrations and numerical examples from the area of social sciences are delineated to show the utility and methodology of fitting a variety of models.
This book provides subject matters different from routine books as the models discussed here are of special interest and need a different treatment than usual regression models. The book will definitely enhance the knowledge of students and equip the researchers for proper analysis and reliable results.

MSC:

62-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics
62-07 Data analysis (statistics) (MSC2010)
62P25 Applications of statistics to social sciences
62-02 Research exposition (monographs, survey articles) pertaining to statistics
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