Call number:
PIK M 311-13-0158
In:
Springer series in statistics
Description / Table of Contents:
Contents: Introduction * General Aspects of Fitting Regression Models * Missing Data * Multivariable Modeling Strategies * Resampling, Validating, Describing, and Simplifying the Model * S-PLUS Software * Case Study in Least Squares Fitting and Interpretation of a Linear Model * Case Study in Imputation and Data Reduction * Overview of Maximum Likelihood Estimation * Binary Logistic Regression * Logistic Model Case Study 1: Predicting Cause of Death * Logistic Model Case Study 2: Survival of Titanic Passengers * Ordinal Logistic Regression * Case Study in Ordinal Regrssion, Data Reduction, and Penalization * Models Using Nonparametic Transformations of X and Y * Introduction to Survival Analysis * Parametric Survival Models * Case Study in Parametric Survival Modeling and Model Approximation * Cox Proportional Hazards Regression Model * Case Study in Cox Regression
Type of Medium:
Monograph available for loan
Pages:
XXII, 568 S. : graph. Darst.
,
235 mm x 178 mm, 1011 g
ISBN:
9781441929181
,
1-441-92918-5
Series Statement:
Springer series in statistics
Location:
A 18 - must be ordered
Branch Library:
PIK Library
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