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Discrete Data Analysis With R : Visualization and Modeling Techniques for Categorical and Count Data

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This advanced undergraduate textbook introduces modern methods for analyzing discrete response data and frequency data, particularly graphical methods for exploring data, spotting unusual features, visualizing fitted models, and presenting results. After exploring traditional non-parametric tests for studying associations in two-way and larger frequency tables, the author describes the simple logistic regression model for a binary response and a single quantitative predictor, generalizes logistic regression models for a binary response to handle polytomous response, and extends the modeling framework to loglinear and logit models. Annotation ©2016 Ringgold, Inc., Portland, OR (protoview.com)
Number of Pages: 544
Genre: Mathematics
Sub-Genre: Probability + Statistics / General
Series Title: Chapman & Hall/CRC Texts in Statistical Science
Format: Hardcover
Publisher: Taylor & Francis
Author: Michael Friendly & David Meyer
Language: English
Street Date: December 17, 2015
TCIN: 50374276
UPC: 9781498725835
Item Number (DPCI): 248-06-2358
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$107.00

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