ScholarGate
Msaidizi
Regression modelRegression / GLM

Usanifu wa Usajili wa Binomiali Hasidi (Robust Negative Binomial Regression)

Usanifu wa Usajili wa Binomiali Hasidi huweka hesabu za matokeo yenye kuenea kupita kiasi kwa kutumia usambazaji wa binomiali hasidi huku ukilinda dhana ya mgawo dhidi ya kutokamilika kwa utendaji wa kigezo. Huunganisha makadirio ya kiwango cha juu cha uwezekano wa vigezo vya wastani na utawanyiko na makosa sanifu za sandwich (Huber-White), na kutoa vipimo halali hata pale muundo wa kigezo uliodhanishwa unapokuwa sahihi kwa takriban.

Tumia kupitia StatMindHivi 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.

Vyanzo

  1. Hilbe, J. M. (2011). Negative Binomial Regression (2nd ed.). Cambridge University Press. ISBN: 978-0521198158
  2. Zeileis, A., Kleiber, C., & Jackman, S. (2008). Regression Models for Count Data in R. Journal of Statistical Software, 27(8), 1–25. DOI: 10.18637/jss.v027.i08

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Robust Negative Binomial Regression. ScholarGate. https://scholargate.app/sw/statistics/robust-negative-binomial-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

ScholarGateRobust Negative Binomial Regression (Robust Negative Binomial Regression). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/statistics/robust-negative-binomial-regression · Seti ya data: https://doi.org/10.5281/zenodo.20539026