Epub Download Categorical Data Analysis Full Free Collection
PDF DOWNLOAD Online PDF Categorical Data Analysis Read Online Details Details Product: A classic in its own right, this book continues to provide an introduction to modern generalized linear models for categorical variables. The text emphasizes methods that are most commonly used in practical application, such as classical inferences for two- and three-way contingency tables, logistic regression, loglinear models, models for multinomial (nominal and ordinal) responses, and methods for repeated measurement and other forms of clustered, correlated response data. Chapter headings remain essentially with the exception of a new one on Bayesian inference for parametric models. Other major changes include an expansion of clustered data, new research on analysis of data sets with robust variables, extensive discussions of ordinal data, more on interpretation, and additional exercises throughout the book. R and SAS are now showcased as the software of choice. An author web site with solutions, commentaries, software programs, and data sets is available. Author: Language: English Format: PDF / EPUB / MOBI E-Books are now available on this website Works on PC, iPad, Android, iOS, Tablet, MAC) THE BEST & MORE SELLER Discover a new world at your fingertips with our wide selection of books online. Our online bookstore features the latest books, eBooks and audio books from best-selling authors, so you can click through our aisles to browse titles & genres that make jaws fall in love with adults, teens and children. Find the perfect book for you today
PDF DOWNLOAD Online PDF Categorical Data Analysis Read Online Details
Details Product: A classic in its own right, this book continues to provide an introduction to modern generalized linear models for categorical variables. The text emphasizes methods that are most commonly used in practical application, such as classical inferences for two- and three-way contingency tables, logistic regression, loglinear models, models for multinomial (nominal and ordinal) responses, and methods for repeated measurement and other forms of clustered, correlated response data. Chapter headings remain essentially with the exception of a new one on Bayesian inference for parametric models. Other major changes include an expansion of clustered data, new research on analysis of data sets with robust variables, extensive discussions of ordinal data, more on interpretation, and additional exercises throughout the book. R and SAS are now showcased as the software of choice. An author web site with solutions, commentaries, software programs, and data sets is available.
Author:
Language: English
Format: PDF / EPUB / MOBI
E-Books are now available on this website
Works on PC, iPad, Android, iOS, Tablet, MAC)
THE BEST & MORE SELLER
Discover a new world at your fingertips with our wide selection of books online. Our online bookstore features the latest books, eBooks and audio books from best-selling authors, so you can click through our aisles to browse titles & genres that make jaws fall in love with adults, teens and children. Find the perfect book for you today
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Epub Download Categorical Data Analysis Full
Free Collection
Description Epub Download Categorical Data
Analysis Full Free Collection
A classic in its own right, this book continues to provide an introduction to modern
generalized linear models for categorical variables. The text emphasizes methods that
are most commonly used in practical application, such as classical inferences for twoand
three-way contingency tables, logistic regression, loglinear models, models for
multinomial (nominal and ordinal) responses, and methods for repeated
measurement and other forms of clustered, correlated response data. Chapter
headings remain essentially with the exception of a new one on Bayesian inference for
parametric models. Other major changes include an expansion of clustered data, new
research on analysis of data sets with robust variables, extensive discussions of
ordinal data, more on interpretation, and additional exercises throughout the book. R
and SAS are now showcased as the software of choice. An author web site with
solutions, commentaries, software programs, and data sets is available.
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