skip to content
Regression : models, methods and applications Preview this item
ClosePreview this item
Checking...

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...
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

 

Find a copy online

Links to this item

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: L Fahrmeir; et al
ISBN: 9783642343339 3642343333
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.].
More information:

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...

Reviews

Editorial reviews

Publisher Synopsis

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...

 
User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.
Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


<http://www.worldcat.org/oclc/843758031>
library:oclcnum"843758031"
library:placeOfPublication
library:placeOfPublication
library:placeOfPublication
owl:sameAs<info:oclcnum/843758031>
rdf:typeschema:Book
schema:about
schema:about
schema:about
schema:about
schema:about
<http://id.worldcat.org/fast/1093277>
rdf:typeschema:Intangible
schema:name"Regression analysis."
schema:name"Regression analysis--Mathematical models"
schema:about
schema:about
schema:bookFormatschema:EBook
schema:contributor
schema:copyrightYear"2013"
schema:datePublished"2013"
schema:description"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 the methods selected and presented. Thus, the book primarily targets an audience that includes students, teachers and practitioners in social, economic, and life sciences, as well as students and teachers in statistics programs, and mathematicians and computer scientists with interests in statistical modeling and data analysis. It is written on an intermediate mathematical level and assumes only knowledge of basic probability, calculus, and statistics. The most important definitions and statements are concisely summarized in boxes. Two appendices describe required matrix algebra, as well as elements of probability calculus and statistical inference."
schema:exampleOfWork<http://worldcat.org/entity/work/id/1351552561>
schema:genre"Electronic books."
schema:inLanguage"en"
schema:name"Regression models, methods and applications"
schema:publisher
schema:url<http://dx.doi.org/10.1007/978-3-642-34333-9>
schema:url
schema:workExample

Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.