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Bayesian Smoothing and ­Regression for Longitudinal,­ Spatial and Event History ­Data
Oxford Statistical Science Series

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Format
Hardback, 544 pages
Published
United Kingdom, 28 April 2011

Bringing together recent advances in smoothing and semiparametric regression from a Bayesian perspective, this book demonstrates, with worked examples, the application of these statistical methods to a variety of fields including forestry, development economics, medicine and marketing.


Ludwig Fahrmeir is Professor Emeritus, Department of Statistics, Ludwig-Maximilians-University Munich. He has been Professor of Statistics at the University of Regensburg, Chairman of the Collaborative Research Centre "Statistical Analysis of Discrete Structures with Applications in Econometrics and Biometrics" and was coordinator of the project "Analysis and Modelling of Complex Systems in Biology and Medicine" at the University of Munich. He is an Elected Fellow of the International Statistical Institute. Thomas Kneib received a PhD in Statistics in 2006 from the University of Munich. He has been visiting Professor for Applied Statistics at the University of Ulm and Professor for Statistics at the University of Göttingen. Currently, he is Professor for Applied Statistics at the University of Oldenburg.

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Product Description

Bringing together recent advances in smoothing and semiparametric regression from a Bayesian perspective, this book demonstrates, with worked examples, the application of these statistical methods to a variety of fields including forestry, development economics, medicine and marketing.


Ludwig Fahrmeir is Professor Emeritus, Department of Statistics, Ludwig-Maximilians-University Munich. He has been Professor of Statistics at the University of Regensburg, Chairman of the Collaborative Research Centre "Statistical Analysis of Discrete Structures with Applications in Econometrics and Biometrics" and was coordinator of the project "Analysis and Modelling of Complex Systems in Biology and Medicine" at the University of Munich. He is an Elected Fellow of the International Statistical Institute. Thomas Kneib received a PhD in Statistics in 2006 from the University of Munich. He has been visiting Professor for Applied Statistics at the University of Ulm and Professor for Statistics at the University of Göttingen. Currently, he is Professor for Applied Statistics at the University of Oldenburg.

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Product Details
EAN
9780199533022
ISBN
0199533024
Other Information
150 black and white line drawings, 10 black and white half tones
Dimensions
23.4 x 15.2 x 3.3 centimeters (0.92 kg)

Table of Contents

1: Introduction: Scope of the Book and Applications
2: Basic Concepts for Smoothing and Semiparametric Regression
3: Generalised Linear Mixed Models
4: Semiparametric Mixed Models for Longitudinal Data
5: Spatial Smothing, Interactions and Geoadditive Regression
6: Event History Data

About the Author

Ludwig Fahrmeir is Professor Emeritus, Department of Statistics, Ludwig-Maximilians-University Munich. He has been Professor of Statistics at the University of Regensburg, Chairman of the Collaborative Research Centre "Statistical Analysis of Discrete Structures with Applications in Econometrics and Biometrics" and was coordinator of the project "Analysis and Modelling of Complex Systems in Biology and Medicine" at the University of Munich. He is an Elected Fellow
of the International Statistical Institute.
Thomas Kneib received a PhD in Statistics in 2006 from the University of Munich. He has been visiting Professor for Applied Statistics at the University of Ulm and Professor for Statistics at the University of Göttingen. Currently, he is Professor for Applied Statistics at the University of Oldenburg.

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