02067cam a2200241 a 4500 1/44023 131106s2012 enka b 001 0 eng 9781107009653 (hardback) 46957 DLC DLC GR-PeUP 519.5΄36 TUT Tutz, Gerhard. Regression for categorical data / Gerhard Tutz. Cambridge ; New York : Cambridge University Press, 2012. x, 561 σ. : εικ. ; 26 εκ. Cambridge series on statistical and probabilistic mathematics ; Περιέχει βιβλιογραφία και ευρετήριο. "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"-- Regression analysis. Categories (Mathematics) Cambridge series in statistical and probabilistic mathematics. INST UNIPILB MAIN 20131106 519.5΄36 TUT 00169950 00169950 STATIST 0 1 /webopac/covers/03/46957_9781107009653.jpg (hardback)