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Regression for categorical data /
~
Tutz, Gerhard.
Regression for categorical data /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Regression for categorical data /Gerhard Tutz.
Author:
Tutz, Gerhard.
Published:
Cambridge ;Cambridge University Press,2012.
Description:
x, 561 p. :ill. ;26 cm.
Subject:
Categories (Mathematics)
ISBN:
9781107009653 (hbk.) :
Regression for categorical data /
Tutz, Gerhard.
Regression for categorical data /
Gerhard Tutz. - Cambridge ;Cambridge University Press,2012. - x, 561 p. :ill. ;26 cm. - Cambridge series in statistical and probabilistic mathematics.
Includes bibliographical references and indexes.
"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"--
ISBN: 9781107009653 (hbk.) :NT$2593
LCCN: 2011000390Subjects--Topical Terms:
206297
Categories (Mathematics)
LC Class. No.: QA278.2 / .T88 2012
Dewey Class. No.: 519.5/36
Regression for categorical data /
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Regression for categorical data /
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Gerhard Tutz.
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Cambridge ;
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Cambridge University Press,
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2012.
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x, 561 p. :
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ill. ;
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26 cm.
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Cambridge series in statistical and probabilistic mathematics
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Includes bibliographical references and indexes.
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"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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Provided by publisher.
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Categories (Mathematics)
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206297
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Regression analysis.
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181872
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西方語文圖書區(四樓)
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西方語文圖書區(四樓)
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QA278.2 T967 2012
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