Description

Praise for the Second Edition

“A must-have book for anyone expecting to do research and/or applications in categorical data analysis.”
Statistics in Medicine

“It is a total delight reading this book.”
Pharmaceutical Research

“If you do any analysis of categorical data, this is an essential desktop reference.”
Technometrics

The use of statistical strategies for analyzing categorical knowledge has elevated dramatically, significantly within the biomedical, social sciences, and monetary industries. Responding to new developments, this e book provides a complete therapy of an important strategies for categorical knowledge evaluation.

Categorical Data Analysis, Third Edition summarizes the most recent strategies for univariate and correlated multivariate categorical responses. Readers will discover a unified generalized linear fashions method that connects logistic regression and Poisson and destructive binomial loglinear fashions for discrete knowledge with regular regression for steady knowledge. This version additionally options:

  • An emphasis on logistic and probit regression strategies for binary, ordinal, and nominal responses for impartial observations and for clustered knowledge with marginal fashions and random results fashions
  • Two new chapters on different strategies for binary response knowledge, together with smoothing and regularization strategies, classification strategies reminiscent of linear discriminant evaluation and classification bushes, and cluster evaluation
  • New sections introducing the Bayesian method for strategies in that chapter
  • More than 100 analyses of knowledge units and over 600 workouts
  • Notes on the finish of every chapter that present references to current analysis and subjects not lined within the textual content, linked to a bibliography of greater than 1,200 sources
  • A supplementary web site displaying find out how to use R and SAS; for all examples within the textual content, with info additionally about SPSS and Stata and with train options

Categorical Data Analysis, Third Edition is a useful instrument for statisticians and methodologists, reminiscent of biostatisticians and researchers within the social and behavioral sciences, medication and public well being, advertising and marketing, training, finance, organic and agricultural sciences, and industrial high quality management.

Author Information

ALAN AGRESTI is Distinguished Professor Emeritus within the Department of Statistics on the University of Florida. He has offered brief programs on categorical knowledge strategies in thirty international locations. He is the writer of 5 different books, together with An Introduction to Categorical Data Analysis, Second Edition and Analysis of Ordinal Categorical Data, Second Edition, each revealed by Wiley.

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