Overdispersion and Poisson Regression
This article discusses the use of regression models for count data. A claim is often made in criminology applications that the negative binomial distribution is the conditional distribution of choice when for a count response variable there is evidence of overdispersion. Some go on to assert that th...
| Autores principales: | ; |
|---|---|
| Tipo de documento: | Electrónico Artículo |
| Lenguaje: | Inglés |
| Publicado: |
2008
|
| En: |
Journal of quantitative criminology
Año: 2008, Volumen: 24, Número: 3, Páginas: 269-284 |
| Acceso en línea: |
Volltext (lizenzpflichtig) Volltext (lizenzpflichtig) |
| Journals Online & Print: | Gargar...
|
| Verificar disponibilidad: | HBZ Gateway |
| Palabras clave: |
MARC
| LEADER | 00000naa a22000002c 4500 | ||
|---|---|---|---|
| 001 | 1764279972 | ||
| 003 | DE-627 | ||
| 005 | 20210725061653.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 210725s2008 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s10940-008-9048-4 |2 doi | |
| 035 | |a (DE-627)1764279972 | ||
| 035 | |a (DE-599)KXP1764279972 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 084 | |a 2,1 |2 ssgn | ||
| 100 | 1 | |a Berk, Richard |e VerfasserIn |4 aut | |
| 109 | |a Berk, Richard |a Berk, Richard A. |a Berk, Richard Alan | ||
| 245 | 1 | 0 | |a Overdispersion and Poisson Regression |
| 264 | 1 | |c 2008 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 520 | |a This article discusses the use of regression models for count data. A claim is often made in criminology applications that the negative binomial distribution is the conditional distribution of choice when for a count response variable there is evidence of overdispersion. Some go on to assert that the overdisperson problem can be “solved” when the negative binomial distribution is used instead of the more conventional Poisson distribution. In this paper, we review the assumptions required for both distributions and show that only under very special circumstances are these claims true. | ||
| 650 | 4 | |a Overdispersion | |
| 650 | 4 | |a Count data | |
| 650 | 4 | |a Negative binomial distribution | |
| 650 | 4 | |a Poisson regression | |
| 700 | 1 | |a MacDonald, John M. |e VerfasserIn |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Journal of quantitative criminology |d New York, NY [u.a.] : Springer Science + Business Media B.V., 1985 |g 24(2008), 3, Seite 269-284 |h Online-Ressource |w (DE-627)320578003 |w (DE-600)2017241-2 |w (DE-576)104082321 |x 1573-7799 |7 nnas |
| 773 | 1 | 8 | |g volume:24 |g year:2008 |g number:3 |g pages:269-284 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s10940-008-9048-4 |x Resolving-System |z lizenzpflichtig |3 Volltext |
| 856 | 4 | 0 | |u http://link.springer.com/openurl/fulltext?id=doi:10.1007/s10940-008-9048-4 |x Verlag |z lizenzpflichtig |3 Volltext |
| 935 | |a mkri | ||
| 951 | |a AR | ||
| ELC | |a 1 | ||
| LOK | |0 000 xxxxxcx a22 zn 4500 | ||
| LOK | |0 001 3957454107 | ||
| LOK | |0 003 DE-627 | ||
| LOK | |0 004 1764279972 | ||
| LOK | |0 005 20210725061653 | ||
| LOK | |0 008 210725||||||||||||||||ger||||||| | ||
| LOK | |0 035 |a (DE-2619)KrimDok#2021-07-24#0B5D9476B5F77F2E38C72A89C8AC3EB000F8941C | ||
| LOK | |0 040 |a DE-2619 |c DE-627 |d DE-2619 | ||
| LOK | |0 092 |o n | ||
| LOK | |0 852 |a DE-2619 | ||
| LOK | |0 852 1 |9 00 | ||
| LOK | |0 935 |a zota | ||
| ORI | |a SA-MARC-krimdoka001.raw | ||
