Power Search
Low Price Guarantee
We Take School POs
Please login or create a free account to submit a review

Regression for Categorical Data
Contributor(s): Tutz, Gerhard (Author)

View larger image

 ISBN: 1107009650     ISBN-13: 9781107009653
Publisher: Cambridge University Press
OUR PRICE: $94.04  

Binding Type: Hardcover - See All Available Formats & Editions
Published: November 2011
Qty:

Click for more in this series: Cambridge Series in Statistical and Probabilistic Mathematic
Additional Information
BISAC Categories:
- Mathematics | Probability & Statistics - General
Dewey: 519.536
LCCN: 2011000390
Series: Cambridge Series in Statistical and Probabilistic Mathematic
Physical Information: 1.4" H x 7.3" W x 10.1" L (2.55 lbs) 572 pages
Features: Bibliography, Illustrated, Index
 
Descriptions, Reviews, Etc.
Publisher Description:
This book introduces basic and advanced concepts of categorical regression with a focus on the structuring constituents of regression, including regularization techniques to structure predictors. In addition to standard methods such as the logit and probit model and extensions to multivariate settings, the author presents more recent developments in flexible and high-dimensional regression, which allow weakening of assumptions on the structuring of the predictor and yield fits that are closer to the data. A generalized linear model is used as a unifying framework whenever possible in particular parametric models that are treated within this framework. Many topics not normally included in books on categorical data analysis are treated here, such as nonparametric regression; selection of predictors by regularized estimation procedures; ternative models like the hurdle model and zero-inflated regression models for count data; and non-standard tree-based ensemble methods, which provide excellent tools for prediction and the handling of both nominal and ordered categorical predictors. The book is accompanied an R package that contains data sets and code for all the examples.

Contributor Bio(s): Tutz, Gerhard: - Dr Gerhard Tutz is a Professor of Mathematics in the Department of Statistics at Ludwig-Maximilians University, Munich. He is formerly a Professor at the Technical University Berlin. He is the author or co-author of nine books and more than 100 papers.
 
Customer ReviewsSubmit your own review
 
To tell a friend about this book, you must Sign In First!