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Regression for Categorical Data

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Regression for Categorical Data - Tutz, Gerhard
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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 ...

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Regression for Categorical Data 2011, Cambridge University Press, Cambridge

ISBN-13: 9781107009653

Hardcover