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Bayesian smoothing and regression for longitudinal, spatial and event history data

Author: L Fahrmeir; Thomas Kneib
Publisher: Oxford ; New York : Oxford University Press, 2011.
Series: Oxford statistical science series, 36.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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.
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Additional Physical Format: Print version:
Fahrmeir, L.
Bayesian smoothing and regression for longitudinal, spatial and event history data.
Oxford ; New York : Oxford University Press, 2011
(DLC) 2010942421
(OCoLC)676872585
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: L Fahrmeir; Thomas Kneib
ISBN: 9780191728501 0191728500
OCLC Number: 755634737
Language Note: English.
Description: 1 online resource (xviii, 521 pages) : illustrations
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
Series Title: Oxford statistical science series, 36.
Responsibility: Ludwig Fahrmeir, Thomas Kneib.

Abstract:

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  Read more...

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