skip to content
Marginal models : for dependent, clustered, and longitudinal categorical data Preview this item
ClosePreview this item
Checking...

Marginal models : for dependent, clustered, and longitudinal categorical data

Author: Wicher P Bergsma; Marcel A Croon; Jacques A Hagenaars
Publisher: New York : Springer, ©2009.
Series: Statistics for social and behavioral sciences.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

Marginal models are often the best way of answering research questions involving dependent observations. This comprehensive overview of the basic principles of marginal modeling offers a wide range  Read more...

Rating:

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

Subjects
More like this

Find a copy in the library

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

Details

Document Type: Book
All Authors / Contributors: Wicher P Bergsma; Marcel A Croon; Jacques A Hagenaars
ISBN: 9780387096094 0387096094 1441918736 9781441918734
OCLC Number: 299247298
Description: xi, 268 pages : illustrations ; 24 cm.
Contents: Loglinear Marginal Models.- Nonloglinear Marginal Models.- Marginal Analysis of Longitudinal Data.- Causal Analyses: Structural Equation Models and (Quasi-)Experimental Designs.- Marginal modeling with latent variables.- Conclusions, Extensions, and Applications.
Series Title: Statistics for social and behavioral sciences.
Responsibility: Wicher Bergsma, Marcel Croon, Jacques A. Hagenaars.

Reviews

Editorial reviews

Publisher Synopsis

From the reviews:"In conclusion, this book is a very well written book about an important topic in categorical data analysis. The methodology is presented with clear examples from applied research. 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


Primary Entity

<http://www.worldcat.org/oclc/299247298> # Marginal models : for dependent, clustered, and longitudinal categorical data
    a schema:CreativeWork, schema:Book ;
    library:oclcnum "299247298" ;
    library:placeOfPublication <http://dbpedia.org/resource/New_York_City> ; # New York
    library:placeOfPublication <http://id.loc.gov/vocabulary/countries/nyu> ;
    schema:about <http://id.worldcat.org/fast/1122944> ; # Social sciences--Research
    schema:about <http://experiment.worldcat.org/entity/work/data/793202213#Topic/tarsadalomtudomanyok_statisztikai_modszerek> ; # társadalomtudományok--statisztikai módszerek
    schema:about <http://id.worldcat.org/fast/1122983> ; # Social sciences--Statistical methods
    schema:about <http://id.loc.gov/authorities/subjects/sh85124014> ; # Social sciences--Research
    schema:about <http://experiment.worldcat.org/entity/work/data/793202213#Topic/matematikai_statisztika_alkalmazas_tarsadalomtudomany> ; # matematikai statisztika--alkalmazás--társadalomtudomány
    schema:about <http://id.loc.gov/authorities/subjects/sh2008111800> ; # Social sciences--Mathematical models
    schema:about <http://id.worldcat.org/fast/1122931> ; # Social sciences--Mathematical models
    schema:about <http://dewey.info/class/300.15118/e22/> ;
    schema:about <http://id.loc.gov/authorities/subjects/sh85124018> ; # Social sciences--Statistical methods
    schema:bookFormat bgn:PrintBook ;
    schema:contributor <http://viaf.org/viaf/73947056> ; # Jacques A. Hagenaars
    schema:contributor <http://viaf.org/viaf/5187393> ; # Marcel A. Croon
    schema:copyrightYear "2009" ;
    schema:creator <http://viaf.org/viaf/91116272> ; # Wicher P. Bergsma
    schema:datePublished "2009" ;
    schema:exampleOfWork <http://worldcat.org/entity/work/id/793202213> ;
    schema:inLanguage "en" ;
    schema:isPartOf <http://experiment.worldcat.org/entity/work/data/793202213#Series/statistics_for_social_and_behavioral_sciences> ; # Statistics for social and behavioral sciences.
    schema:name "Marginal models : for dependent, clustered, and longitudinal categorical data"@en ;
    schema:productID "299247298" ;
    schema:publication <http://www.worldcat.org/title/-/oclc/299247298#PublicationEvent/new_york_springer_2009> ;
    schema:publisher <http://experiment.worldcat.org/entity/work/data/793202213#Agent/springer> ; # Springer
    schema:workExample <http://worldcat.org/isbn/9780387096094> ;
    schema:workExample <http://worldcat.org/isbn/9781441918734> ;
    umbel:isLike <http://bnb.data.bl.uk/id/resource/GBA906877> ;
    wdrs:describedby <http://www.worldcat.org/title/-/oclc/299247298> ;
    .


Related Entities

<http://dbpedia.org/resource/New_York_City> # New York
    a schema:Place ;
    schema:name "New York" ;
    .

<http://experiment.worldcat.org/entity/work/data/793202213#Series/statistics_for_social_and_behavioral_sciences> # Statistics for social and behavioral sciences.
    a bgn:PublicationSeries ;
    schema:hasPart <http://www.worldcat.org/oclc/299247298> ; # Marginal models : for dependent, clustered, and longitudinal categorical data
    schema:name "Statistics for social and behavioral sciences." ;
    schema:name "Statistics for social and behavioral sciences" ;
    .

<http://experiment.worldcat.org/entity/work/data/793202213#Topic/matematikai_statisztika_alkalmazas_tarsadalomtudomany> # matematikai statisztika--alkalmazás--társadalomtudomány
    a schema:Intangible ;
    schema:name "matematikai statisztika--alkalmazás--társadalomtudomány"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/793202213#Topic/tarsadalomtudomanyok_statisztikai_modszerek> # társadalomtudományok--statisztikai módszerek
    a schema:Intangible ;
    schema:name "társadalomtudományok--statisztikai módszerek"@en ;
    .

<http://id.loc.gov/authorities/subjects/sh2008111800> # Social sciences--Mathematical models
    a schema:Intangible ;
    schema:name "Social sciences--Mathematical models"@en ;
    .

<http://id.loc.gov/authorities/subjects/sh85124014> # Social sciences--Research
    a schema:Intangible ;
    schema:name "Social sciences--Research"@en ;
    .

<http://id.loc.gov/authorities/subjects/sh85124018> # Social sciences--Statistical methods
    a schema:Intangible ;
    schema:name "Social sciences--Statistical methods"@en ;
    .

<http://id.worldcat.org/fast/1122931> # Social sciences--Mathematical models
    a schema:Intangible ;
    schema:name "Social sciences--Mathematical models"@en ;
    .

<http://id.worldcat.org/fast/1122944> # Social sciences--Research
    a schema:Intangible ;
    schema:name "Social sciences--Research"@en ;
    .

<http://id.worldcat.org/fast/1122983> # Social sciences--Statistical methods
    a schema:Intangible ;
    schema:name "Social sciences--Statistical methods"@en ;
    .

<http://viaf.org/viaf/5187393> # Marcel A. Croon
    a schema:Person ;
    schema:familyName "Croon" ;
    schema:givenName "Marcel A." ;
    schema:name "Marcel A. Croon" ;
    .

<http://viaf.org/viaf/73947056> # Jacques A. Hagenaars
    a schema:Person ;
    schema:familyName "Hagenaars" ;
    schema:givenName "Jacques A." ;
    schema:name "Jacques A. Hagenaars" ;
    .

<http://viaf.org/viaf/91116272> # Wicher P. Bergsma
    a schema:Person ;
    schema:birthDate "1966" ;
    schema:familyName "Bergsma" ;
    schema:givenName "Wicher P." ;
    schema:name "Wicher P. Bergsma" ;
    .

<http://worldcat.org/isbn/9780387096094>
    a schema:ProductModel ;
    schema:isbn "0387096094" ;
    schema:isbn "9780387096094" ;
    .

<http://worldcat.org/isbn/9781441918734>
    a schema:ProductModel ;
    schema:isbn "1441918736" ;
    schema:isbn "9781441918734" ;
    .

<http://www.worldcat.org/title/-/oclc/299247298>
    a genont:InformationResource, genont:ContentTypeGenericResource ;
    schema:about <http://www.worldcat.org/oclc/299247298> ; # Marginal models : for dependent, clustered, and longitudinal categorical data
    schema:dateModified "2019-01-14" ;
    void:inDataset <http://purl.oclc.org/dataset/WorldCat> ;
    .


Content-negotiable representations

Close Window

Please sign in to WorldCat 

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