Regression for categorical data / Gerhard Tutz

By:

Tutz, Gerhard

Material type: Text

TextPublication details: Cambridge : Cambridge University Press, 2012Description: x, 561p. 25cmISBN:

9781107009653

Subject(s):

DDC classification:

519.536 TUT

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Book	Calcutta	519.536 TUT (Browse shelf(Opens below))	Available		IIMC-135306

Total holds: 0

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

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