Gerhard Tutz's Books

Modeling Discrete Time-to-Event Data

By: Gerhard Tutz,Matthias Schmid

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Modeling Discrete Time-to-Event Data

By: Gerhard Tutz,Matthias Schmid

This book focuses on statistical methods for the analysis of discrete failure times. Failure time analysis is one of the most important fields in statistical research, with applications affecting a wide range of disciplines, in particular, demography, econometrics, epidemiology and clinical research. Although there are a large variety of statistical methods for failure time analysis, many techniques are designed for failure times that are measured on a continuous scale. In empirical studies, however, failure times are often discrete, either because they have been measured in intervals (e.g., quarterly or yearly) or because they have been rounded or grouped. The book covers well-established methods like life-table analysis and discrete hazard regression models, but also introduces state-of-the art techniques for model evaluation, nonparametric estimation and variable selection. Throughout, the methods are illustrated by real life applications, and relationships to survival analysis in continuous time are explained. Each section includes a set of exercises on the respective topics. Various functions and tools for the analysis of discrete survival data are collected in the R package discSurv that accompanies the book.

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Page Count

252

Publisher

Springer

Published Date

ISBN 10

3319281585

ISBN 13

9783319281582

Regression for Categorical Data

By: Gerhard Tutz

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Regression for Categorical Data

By: Gerhard Tutz

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. Many topics not normally included in books on categorical data analysis are treated here, such as nonparametric regression; selection of predictors by regularized estimation procedures; ternative models like the hurdle model and zero-inflated regression models for count data; and non-standard tree-based ensemble methods. The book is accompanied by an R package that contains data sets and code for all the examples.

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Page Count

573

Publisher

Cambridge University Press

Published Date

ISBN 10

1139499580

ISBN 13

9781139499583

Multivariate Statistical Modelling Based on Generalized Linear Models

By: Ludwig Fahrmeir,Gerhard Tutz

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Multivariate Statistical Modelling Based on Generalized Linear Models

By: Ludwig Fahrmeir,Gerhard Tutz

The book is aimed at applied statisticians, graduate students of statistics, and students and researchers with a strong interest in statistics and data analysis. This second edition is extensively revised, especially those sections relating with Bayesian concepts.

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Page Count

537

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1475734549

ISBN 13

9781475734546

Statistical Modelling and Regression Structures

Festschrift in Honour of Ludwig Fahrmeir

By: Thomas Kneib,Gerhard Tutz

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Statistical Modelling and Regression Structures

Festschrift in Honour of Ludwig Fahrmeir

By: Thomas Kneib,Gerhard Tutz

The contributions collected in this book have been written by well-known statisticians to acknowledge Ludwig Fahrmeir's far-reaching impact on Statistics as a science, while celebrating his 65th birthday. The contributions cover broad areas of contemporary statistical model building, including semiparametric and geoadditive regression, Bayesian inference in complex regression models, time series modelling, statistical regularization, graphical models and stochastic volatility models.

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Page Count

486

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3790824135

ISBN 13

9783790824131

Modeling Discrete Time-to-Event Data

By: Gerhard Tutz,Matthias Schmid

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Modeling Discrete Time-to-Event Data

By: Gerhard Tutz,Matthias Schmid

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Solve jigsaw puzzle

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Page Count

252

Publisher

Springer

Published Date

ISBN 10

3319281585

ISBN 13

9783319281582

Book's by Gerhard Tutz

Modeling Discrete Time-to-Event Data

Modeling Discrete Time-to-Event Data

Regression for Categorical Data

Regression for Categorical Data

Multivariate Statistical Modelling Based on Generalized Linear Models

Multivariate Statistical Modelling Based on Generalized Linear Models

Statistical Modelling and Regression Structures

Statistical Modelling and Regression Structures

Modeling Discrete Time-to-Event Data

Modeling Discrete Time-to-Event Data

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