Sale!
An Introduction to Categorical Data Analysis (3rd Edition) - eBook

An Introduction to Categorical Data Analysis (3rd Edition) – eBook

eBook details

  • Author: Alan Agresti
  • File Size: 5 MB
  • Format: PDF
  • Length: 371 pages
  • Publisher: Wiley; 3rd edition
  • Publication Date: October 11, 2018
  • Language: English
  • ASIN: B07JCSVTDW
  • ISBN-10: 1119405262
  • ISBN-13: 9781119405269

$15.00

SKU: an-introduction-to-categorical-data-analysis-3rd-edition-ebook Categories: , , , , , , Tags: , , , ,

About The Author

Alan Agresti

Alan Agresti

Dr. Alan Agresti is Distinguished Professor in the Department of Statistics at the University of Florida. He has been teaching statistics there for over three decades, including the development of three courses in categorical data analysis and three courses in statistical methods for social science students. He is author of over 100 refereed article and four textbooks including "Statistics: The Art and Science of Learning From Data" and "Categorical Data Analysis."

Alan is a Fellow of the American Statistical Association and recipient of an Honorary Doctor of Science from De Montfort University in the UK. He was named "Statistician of the Year" by the Chicago chapter of the American Statistical Association and in Dr. Agresti was the first honoree of the Herman Callaert Leadership Award in Biostatistical Education and Dissemination awarded by the University of Limburgs, Belgium. He has held visiting positions at Boston University, London School of Economics, Harvard University, and Imperial College and has taught courses or short courses for companies and universities in about 20 countries worldwide. He has also received teaching awards from UF and an excellence in writing award from John Wiley and Sons.

A valuable new edition of a standard reference

The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, 3rd Edition (PDF) summarizes these methods and shows readers how to use them using software. College students will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data.

Adding to the value in the new 3rd edition is:

• Illustrations of the use of R software to perform all the analyses in the ebook

• New sections in many chapters introducing the Bayesian approach for the methods of that chapter

• An appendix showing how to use Stata, SAS, and SPSS, and an appendix with short solutions to most odd-numbered exercises

• More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets

• A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis

Written in an applied, nontechnical style, this ebook An Introduction to Categorical Data Analysis 3e illustrates the methods using a wide variety of real data, including environmental questions, drug use by teenagers, medical clinical trials, basketball shooting, correlates of happiness, horseshoe crab mating, and much more.

An Introduction to Categorical Data Analysis, Third Edition is an invaluable tool for biostatisticians and statisticians as well as methodologists in the social and behavioral sciences, medicine and public health, education, marketing, and the biological and agricultural sciences.

NOTE: This sale only includes the ebook An Introduction to Categorical Data Analysis 3rd edition in PDF. No access codes included.

Reviews

There are no reviews yet.

Be the first to review “An Introduction to Categorical Data Analysis (3rd Edition) – eBook”