ScholarGate
Msaidizi
Regression model

Uchanganuzi wa Poisson na Negative Binomial

Uchanganuzi wa Poisson ni modeli iliyofanywa upya ya mstari kwa ajili ya matokeo ya hesabu — matukio yanayohesabiwa kama nambari kamili zisizo hasi kama vile kulazwa hospitalini, ajali, au hesabu za makala. Huunda logi ya hesabu inayotarajiwa kama utendaji wa mstari wa vigeuzi, na imeandaliwa katika matibabu sanifu ya data ya hesabu ya Cameron na Trivedi (1998); wakati hesabu zinapokuwa na mtawanyiko mwingi, modeli ya negative binomial iliyo karibu (Hilbe, 2011) inapendelewa.

Tumia kupitia EconMindHivi karibuniVideoHivi karibuniDownload slides

Soma mbinu kamili

Kwa wanachama pekee

Ingia kwa akaunti ya bure ili kusoma sehemu hii.

Ingia

Method map

The neighbourhood of related methods — select a node to explore.

+13 more

Vyanzo

  1. Cameron, A. C. & Trivedi, P. K. (1998). Regression Analysis of Count Data. Cambridge University Press. DOI: 10.1017/CBO9780511814365
  2. Hilbe, J. M. (2011). Negative Binomial Regression (2nd ed.). Cambridge University Press. DOI: 10.1017/CBO9780511973420

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 1). Poisson and Negative Binomial Regression. ScholarGate. https://scholargate.app/sw/econometrics/poisson-regression

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

Imerejelewa na

ScholarGatePoisson Regression (Poisson and Negative Binomial Regression). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/econometrics/poisson-regression · Seti ya data: https://doi.org/10.5281/zenodo.20539026