By Alan Agresti
Praise for the second one Edition
"A must-have e-book for somebody looking ahead to to do examine and/or functions in express information analysis."
—Statistics in Medicine
"It is a complete pride examining this book."
"If you do any research of express information, this can be a vital computing device reference."
The use of statistical equipment for examining express facts has elevated dramatically, really within the biomedical, social sciences, and fiscal industries. Responding to new advancements, this publication deals a entire therapy of an important equipment for specific information analysis.
Categorical info research, 3rd Edition summarizes the most recent equipment for univariate and correlated multivariate specific responses. Readers will discover a unified generalized linear versions procedure that connects logistic regression and Poisson and destructive binomial loglinear versions for discrete info with general regression for non-stop information. This version additionally features:
- An emphasis on logistic and probit regression tools for binary, ordinal, and nominal responses for self sustaining observations and for clustered information with marginal types and random results models
- Two new chapters on replacement equipment for binary reaction information, together with smoothing and regularization tools, class tools akin to linear discriminant research and type bushes, and cluster analysis
- New sections introducing the Bayesian process for ways in that chapter
- More than a hundred analyses of information units and over six hundred exercises
- Notes on the finish of every bankruptcy that offer references to fresh study and subject matters now not lined within the textual content, associated with a bibliography of greater than 1,200 sources
- A supplementary site exhibiting the right way to use R and SAS; for all examples within the textual content, with details additionally approximately SPSS and Stata and with workout solutions
Categorical info research, 3rd Edition is a useful software for statisticians and methodologists, equivalent to biostatisticians and researchers within the social and behavioral sciences, drugs and public healthiness, advertising, schooling, finance, organic and agricultural sciences, and commercial caliber control.
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Extra info for Categorical Data Analysis (Wiley Series in Probability and Statistics)
Categorical Data Analysis (Wiley Series in Probability and Statistics) by Alan Agresti