Estimating functions for repeated measures with incidental parameters

DOI10.1007/s10463-009-0243-3zbMath1333.62066OpenAlexW2094723944MaRDI QIDQ261834

Martin Crowder

Publication date: 24 March 2016

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10463-009-0243-3

zbMATH Keywords

repeated measuresestimating functionsincidental parametersNeyman-Scott problemstructural parameters

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Point estimation (62F10)

Cites Work

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• Consistency of the Maximum Likelihood Estimator in the Presence of Infinitely Many Incidental Parameters
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• A New Method for Constructing Approximate Confidence Intervals from M Estimates
• Odds ratio estimators when the data are sparse
• Efficiency of estimating equations and the use of pivots
• Analysis of Repeated Measures
• Unbiased estimating equations derived from statistics that are functions of a parameter
• Bias reduction of maximum likelihood estimates
• Consistent Estimates Based on Partially Consistent Observations
• Note on the Consistency of the Maximum Likelihood Estimate

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