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The Statistical Analysis of Discrete Data (Paperback, Softcover reprint of the original 1st ed. 1989)
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The Statistical Analysis of Discrete Data (Paperback, Softcover reprint of the original 1st ed. 1989)
Series: Springer Texts in Statistics
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The Statistical Analysis of Discrete Data provides an introduction
to cur rent statistical methods for analyzing discrete response
data. The book can be used as a course text for graduate students
and as a reference for researchers who analyze discrete data. The
book's mathematical prereq uisites are linear algebra and
elementary advanced calculus. It assumes a basic statistics course
which includes some decision theory, and knowledge of classical
linear model theory for continuous response data. Problems are
provided at the end of each chapter to give the reader an
opportunity to ap ply the methods in the text, to explore
extensions of the material covered, and to analyze data with
discrete responses. In the text examples, and in the problems, we
have sought to include interesting data sets from a wide variety of
fields including political science, medicine, nuclear engineering,
sociology, ecology, cancer research, library science, and biology.
Although there are several texts available on discrete data
analysis, we felt there was a need for a book which incorporated
some of the myriad recent research advances. Our motivation was to
introduce the subject by emphasizing its ties to the well-known
theories of linear models, experi mental design, and regression
diagnostics, as well as to describe alterna tive methodologies
(Bayesian, smoothing, etc. ); the latter are based on the premise
that external information is available. These overriding goals, to
gether with our own experiences and biases, have governed our
choice of topics.
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