Abstract

The connection between quasi-likelihood functions, exponential family models and nonlinear weighted least squares is examined. Consistency and asymptotic normality of the parameter estimates are discussed under second moment assumptions. The parameter estimates are shown to satisfy a property of asymptotic optimality similar in spirit to, but more general than, the corresponding optimal property of Gauss-Markov estimators.

Keywords

MathematicsExponential familyEstimatorApplied mathematicsStrong consistencyAsymptotic distributionProperty (philosophy)Local asymptotic normalityMoment (physics)Consistency (knowledge bases)Markov chainMaximum likelihoodConnection (principal bundle)StatisticsDiscrete mathematics

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Publication Info

Year
1983
Type
article
Volume
11
Issue
1
Citations
769
Access
Closed

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Peter McCullagh (1983). Quasi-Likelihood Functions. The Annals of Statistics , 11 (1) . https://doi.org/10.1214/aos/1176346056

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DOI
10.1214/aos/1176346056