Use of vector divisions in solving quasi-likelihood equations for a Poisson model

DOI10.1080/00949655.2011.580345zbMath1431.62233OpenAlexW2035509826MaRDI QIDQ5300819

Naushad Mamode Khan

Publication date: 28 June 2013

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2011.580345

zbMATH Keywords

Jacobianmaximum likelihoodsecant methodNewton-Raphsonquasi-likelihoodPoissonvector divisions

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Computational methods for problems pertaining to statistics (62-08) Estimation in multivariate analysis (62H12)

Related Items (1)

A GQL estimation approach for analysing non-stationary over-dispersed BINAR(1) time series

Cites Work

• Longitudinal data analysis using generalized linear models
• A Useful Distribution for Fitting Discrete Data: Revival of the Conway–Maxwell–Poisson Distribution

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