Description: Regression for Categorical Data, Hardcover by Tutz, Gerhard, ISBN 1107009650, ISBN-13 9781107009653, Like New Used, Free shipping in the US "Categorical data play an important role in many statistical analyses. They appear whenever the outcomes of one or more categorical variables are observed. A categorical variable can be seen as a variable for which the possible values form a set of categories, which can be finite or, in the case of count data, infinite. These categories can be records of answers (yes/no) in a questionnaire, diagnoses like normal/abnormal resulting from a medical examination or choices of brands in consumer behaviour. Data of this type are common in all sciences that use quantitative research tools, for example social sciences, economics, biology, genetics and medicine, but also engineering and agriculture. In some applications all of the observed variables are categorical and the resulting data can be summarized in contingency tables which contain the counts for combinations of possible outcomes. In other applications categorical data are collected together with continuous variables and one wants to investigate the dependence of one or more categorical variables on continuous and/or categorical variables"--
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Book Title: Regression for Categorical Data
Number of Pages: 572 Pages
Language: English
Publication Name: Regression for Categorical Data
Publisher: Cambridge University Press
Subject: Group Theory, Probability & Statistics / General, Probability & Statistics / Regression Analysis
Item Height: 1.4 in
Publication Year: 2011
Type: Textbook
Item Weight: 40.9 Oz
Author: Gerhard Tutz
Subject Area: Mathematics
Item Length: 10.1 in
Item Width: 7.3 in
Series: Cambridge Series in Statistical and Probabilistic Mathematics Ser.
Format: Hardcover
