By Alan Agresti
Praise for the second one Edition
"A must-have ebook for an individual anticipating to do examine and/or functions in express information analysis."
—Statistics in Medicine
"It is a complete satisfaction analyzing this book."
"If you do any research of express info, this can be an important computer reference."
The use of statistical equipment for examining express information has elevated dramatically, rather within the biomedical, social sciences, and monetary industries. Responding to new advancements, this publication deals a finished therapy of an important tools for specific facts analysis.
Categorical information research, 3rd Edition summarizes the newest tools for univariate and correlated multivariate express responses. Readers will discover a unified generalized linear types procedure that connects logistic regression and Poisson and unfavourable binomial loglinear types for discrete facts with basic regression for non-stop info. This version additionally features:
- An emphasis on logistic and probit regression equipment for binary, ordinal, and nominal responses for self reliant observations and for clustered information with marginal versions and random results models
- Two new chapters on substitute tools for binary reaction information, together with smoothing and regularization tools, category equipment resembling linear discriminant research and category timber, and cluster analysis
- New sections introducing the Bayesian process for ways in that chapter
- More than a hundred analyses of knowledge units and over six hundred exercises
- Notes on the finish of every bankruptcy that supply references to contemporary study and themes now not lined within the textual content, associated with a bibliography of greater than 1,200 sources
- A supplementary site exhibiting easy methods to use R and SAS; for all examples within the textual content, with info additionally approximately SPSS and Stata and with workout solutions
Categorical information research, 3rd Edition is a useful device for statisticians and methodologists, corresponding to biostatisticians and researchers within the social and behavioral sciences, drugs and public health and wellbeing, advertising and marketing, schooling, finance, organic and agricultural sciences, and business caliber control.
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Categorical Data Analysis (Wiley Series in Probability and Statistics) by Alan Agresti