Optimal estimation in random coefficient regression models

DOI10.1007/BF00058637zbMath0781.62103MaRDI QIDQ1206649

M. B. Rajarshi, T. V. Ramanathan

Publication date: 1 April 1993

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

zbMATH Keywords

nuisance parametersconditioningsufficient statisticssemi-parametric modelsestimating functionsscore functionstratified datarandom coefficients regression modelsconditional estimating functionestimation of average slope

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Linear regression; mixed models (62J05) Point estimation (62F10)

Related Items (1)

Collapsibility of regression coefficients and its extensions

Cites Work

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• Estimating functions for conditional inference: many nuisance parameter case
• Jackknife, bootstrap and other resampling methods in regression analysis
• ON THE HILDRETH‐HOUCK ESTIMATOR FOR RANDOM COEFFICIENT REGRESSION MODELS
• The foundations of finite sample estimation in stochastic processes
• Conditional score functions: Some optimality results
• Conditional likelihood and unconditional optimum estimating equations
• Some Estimators for a Linear Model with Random Coefficients

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