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Regression : models, methods and applications

Author: L Fahrmeir; et al
Publisher: Berlin ; New York : Springer, ©2013.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
The aim of this book is an applied and unified introduction into parametric, non- and semiparametric regression that closes the gap between theory and application. The most important models and methods in regression are presented on a solid formal basis, and their appropriate application is shown through many real data examples and case studies. Availability of (user-friendly) software has been a major criterion for  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: L Fahrmeir; et al
ISBN: 9783642343339 3642343333 3642343325 9783642343322
OCLC Number: 843758031
Description: 1 online resource.
Contents: Introduction --
Regression Models --
The Classical Linear Model --
Extensions of the Classical Linear Model --
Generalized Linear Models --
Categorical Regression Models --
Mixed Models --
Nonparametric Regression --
Structured Additive Regression --
Quantile Regression.
Responsibility: Ludwig Fahrmeir...[et al.].
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Abstract:

This book offers an applied and unified introduction into parametric, non- and semiparametric regression that closes the gap between theory and application. It presents the most important models and  Read more...

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From the book reviews: "This is a very useful book for researchers, in particular those often faced with data not suited to the classical linear model, and for teachers who wish to motivate good Read more...

 
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