January 1, 1987

On linear and quadratic estimating functions

Puntos clave

Los puntos clave no están disponibles para este artículo en este momento.

Resumen

SUMMARY In some cases maximum quasi-likelihood estimation, which is at the core of GLIM, can fail to give reasonable results. A more general class of estimating functions is investigated which avoids such failure and also is not restricted to the particular forms of mean and variance function of GLIM.

Me gusta

Guardar

Cite This Study

Martin Crowder (Thu,) studied this question.

synapsesocial.com/papers/6a15ea24a215942ca9e3ddff https://doi.org/https://doi.org/10.1093/biomet/74.3.591

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Applied Regression Analysis2005 · 18,059 citations
2An Optimum Property of Regular Maximum Likelihood Estimation1960 · 775 citations
3Quasi-likelihood functions, generalized linear models, and the Gauss—Newton method1974 · 1,954 citations
4Quasi-Likelihood Functions1983 · 776 citations
5On the efficiency of quasi-likelihood estimation1987 · 100 citations

Me gusta

Guardar