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  • 1
    Online Resource
    Online Resource
    Modeling count data / (2014)
    Cambridge :Cambridge University Press,
    Details
    UID:
    almahu_9947414803602882
    Format: 1 online resource (xv, 283 pages) : , digital, PDF file(s).
    ISBN: 9781139236065 (ebook)
    Content: This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for researchers with little or no background in advanced statistics, the book presents treatments of all major models using numerous tables, insets, and detailed modeling suggestions. It begins by demonstrating the fundamentals of modeling count data, including a thorough presentation of the Poisson model. It then works up to an analysis of the problem of overdispersion and of the negative binomial model, and finally to the many variations that can be made to the base count models. Examples in Stata, R, and SAS code enable readers to adapt models for their own purposes, making the text an ideal resource for researchers working in health, ecology, econometrics, transportation, and other fields.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , Machine generated contents note: Preface; 1. Varieties of count data; 2. Poisson regression; 3. Testing overdispersion; 4. Assessment of fit; 5. Negative binomial regression; 6. Poisson inverse Gaussian regression; 7. Problems with zeros; 8. Modeling under-dispersed count data - generalized Poisson; 9. Complex data: more advanced models; Appendix A: SAS code; References; Index.
    Additional Edition: Print version: ISBN 9781107028333
    Language: English
    URL: https://doi.org/10.1017/CBO9781139236065
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    HU Berlin
    FU Berlin
  • 2
    Online Resource
    Online Resource
    Modeling count data (2014)
    Cambridge : Cambridge University Press
    Details
    UID:
    gbv_875083943
    Format: 1 Online-Ressource (xv, 283 Seiten) , Illustrationen
    ISBN: 9781139236065 , 9781107611252 , 9781107028333
    Series Statement: Cambridge books online
    Content: This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for researchers with little or no background in advanced statistics, the book presents treatments of all major models using numerous tables, insets, and detailed modeling suggestions. It begins by demonstrating the fundamentals of modeling count data, including a thorough presentation of the Poisson model. It then works up to an analysis of the problem of overdispersion and of the negative binomial model, and finally to the many variations that can be made to the base count models. Examples in Stata, R, and SAS code enable readers to adapt models for their own purposes, making the text an ideal resource for researchers working in health, ecology, econometrics, transportation, and other fields
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015)
    Additional Edition: ISBN 9781107611252
    Additional Edition: ISBN 9781107028333
    Additional Edition: Erscheint auch als Druck-Ausgabe Hilbe, Joseph M., 1944 - 2017 Modeling count data New York, NY : Cambridge Univ. Press, 2014 ISBN 9781107028333
    Additional Edition: ISBN 9781107611252
    Language: English
    Subjects: Mathematics
    RVK:
    SK 840
    RVK:
    SK 830
    Keywords: Zähldaten ; Datenanalyse
    DOI: 10.1017/CBO9781139236065
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (lizenzpflichtig)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Online Access
    Open Access Request
    Stabi Berlin
    UB Potsdam
  • 3
    Book
    Book
    Modeling count data / (2014)
    Cambridge :Cambridge Univ. Press,
    Details
    UID:
    almafu_BV041823467
    Format: XV, 283 S.
    ISBN: 1-107-02833-7 , 978-1-107-02833-3 , 978-1-107-61125-2
    Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-1-139-23606-5
    Language: English
    Subjects: Economics
    RVK:
    QH 230
    Keywords: Zähldaten ; Datenanalyse
    URL: Inhaltsverzeichnis
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Book
    FU Berlin get availability status
    TU Berlin get availability status
  • 4
    Online Resource
    Online Resource
    Modeling count data / (2014)
    Cambridge :Cambridge University Press,
    Details
    UID:
    almahu_9948234063702882
    Format: 1 online resource (xv, 283 pages) : , digital, PDF file(s).
    ISBN: 9781139236065 (ebook)
    Content: This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for researchers with little or no background in advanced statistics, the book presents treatments of all major models using numerous tables, insets, and detailed modeling suggestions. It begins by demonstrating the fundamentals of modeling count data, including a thorough presentation of the Poisson model. It then works up to an analysis of the problem of overdispersion and of the negative binomial model, and finally to the many variations that can be made to the base count models. Examples in Stata, R, and SAS code enable readers to adapt models for their own purposes, making the text an ideal resource for researchers working in health, ecology, econometrics, transportation, and other fields.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , Machine generated contents note: Preface; 1. Varieties of count data; 2. Poisson regression; 3. Testing overdispersion; 4. Assessment of fit; 5. Negative binomial regression; 6. Poisson inverse Gaussian regression; 7. Problems with zeros; 8. Modeling under-dispersed count data - generalized Poisson; 9. Complex data: more advanced models; Appendix A: SAS code; References; Index.
    Additional Edition: Print version: ISBN 9781107028333
    Language: English
    URL: https://doi.org/10.1017/CBO9781139236065
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    HU Berlin
  • 5
    Book
    Book
    Modeling count data (2014)
    Cambridge : Cambridge Univ. Press
    Details
    UID:
    b3kat_BV041823467
    Format: XV, 283 S.
    ISBN: 1107028337 , 9781107028333 , 9781107611252
    Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-1-139-23606-5
    Language: English
    Subjects: Economics
    RVK:
    QH 230
    Keywords: Zähldaten ; Datenanalyse
    URL: Inhaltsverzeichnis
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Book
    TU Berlin get availability status
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