Negative binomial regression:
At last - a book devoted to the negative binomial model and its many variations. Every model currently offered in commercial statistical software packages is discussed in detail - how each is derived, how each resolves a distributional problem, and numerous examples of their application. Many have n...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2007
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| Subjects: | |
| Online Access: | BSB01 FHN01 Volltext |
| Summary: | At last - a book devoted to the negative binomial model and its many variations. Every model currently offered in commercial statistical software packages is discussed in detail - how each is derived, how each resolves a distributional problem, and numerous examples of their application. Many have never before been thoroughly examined in a text on count response models: the canonical negative binomial; the NB-P model, where the negative binomial exponent is itself parameterized; and negative binomial mixed models. As the models address violations of the distributional assumptions of the basic Poisson model, identifying and handling overdispersion is a unifying theme. For practising researchers and statisticians who need to update their knowledge of Poisson and negative binomial models, the book provides a comprehensive overview of estimating methods and algorithms used to model counts, as well as specific guidelines on modeling strategy and how each model can be analyzed to access goodness-of-fit |
| Item Description: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Physical Description: | 1 online resource (xii, 251 pages) |
| ISBN: | 9780511811852 |
| DOI: | 10.1017/CBO9780511811852 |
Staff View
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Record in the Search Index
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| dewey-full | 519.24 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.24 |
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| dewey-tens | 510 - Mathematics |
| discipline | Mathematik Wirtschaftswissenschaften |
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| id | DE-604.BV043942721 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:39:18Z |
| institution | BVB |
| isbn | 9780511811852 |
| language | English |
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| physical | 1 online resource (xii, 251 pages) |
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| publishDate | 2007 |
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| publisher | Cambridge University Press |
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| spelling | Hilbe, Joseph M. 1944- Verfasser aut Negative binomial regression Joseph M. Hilbe Cambridge Cambridge University Press 2007 1 online resource (xii, 251 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) At last - a book devoted to the negative binomial model and its many variations. Every model currently offered in commercial statistical software packages is discussed in detail - how each is derived, how each resolves a distributional problem, and numerous examples of their application. Many have never before been thoroughly examined in a text on count response models: the canonical negative binomial; the NB-P model, where the negative binomial exponent is itself parameterized; and negative binomial mixed models. As the models address violations of the distributional assumptions of the basic Poisson model, identifying and handling overdispersion is a unifying theme. For practising researchers and statisticians who need to update their knowledge of Poisson and negative binomial models, the book provides a comprehensive overview of estimating methods and algorithms used to model counts, as well as specific guidelines on modeling strategy and how each model can be analyzed to access goodness-of-fit Negative binomial distribution Poisson algebras Negative Binomialverteilung (DE-588)4194810-5 gnd rswk-swf Regressionsanalyse (DE-588)4129903-6 gnd rswk-swf Negative Binomialverteilung (DE-588)4194810-5 s Regressionsanalyse (DE-588)4129903-6 s 1\p DE-604 Erscheint auch als Druckausgabe 978-0-521-67444-7 Erscheint auch als Druckausgabe 978-0-521-85772-7 https://doi.org/10.1017/CBO9780511811852 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Hilbe, Joseph M. 1944- Negative binomial regression Negative binomial distribution Poisson algebras Negative Binomialverteilung (DE-588)4194810-5 gnd Regressionsanalyse (DE-588)4129903-6 gnd |
| subject_GND | (DE-588)4194810-5 (DE-588)4129903-6 |
| title | Negative binomial regression |
| title_auth | Negative binomial regression |
| title_exact_search | Negative binomial regression |
| title_full | Negative binomial regression Joseph M. Hilbe |
| title_fullStr | Negative binomial regression Joseph M. Hilbe |
| title_full_unstemmed | Negative binomial regression Joseph M. Hilbe |
| title_short | Negative binomial regression |
| title_sort | negative binomial regression |
| topic | Negative binomial distribution Poisson algebras Negative Binomialverteilung (DE-588)4194810-5 gnd Regressionsanalyse (DE-588)4129903-6 gnd |
| topic_facet | Negative binomial distribution Poisson algebras Negative Binomialverteilung Regressionsanalyse |
| url | https://doi.org/10.1017/CBO9780511811852 |
| work_keys_str_mv | AT hilbejosephm negativebinomialregression |