Generalized mixed estimator for nonlinear models: a maximum likelihood approach

DOI10.1080/07474939708800374zbMath0891.62044OpenAlexW2066406697MaRDI QIDQ4355147

Pene Kalulumia, Denis Bolduc

Publication date: 25 June 1998

Published in: Econometric Reviews (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/07474939708800374

zbMATH Keywords

consistencyasymptotic normalitymaximum likelihoodmixed regressionstochastic linear constraints

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Parametric inference under constraints (62F30) General nonlinear regression (62J02)

Cites Work

• Schur complements and statistics
• A Remark on Hausman's Specification Test
• A mean square error test when stochastic restrictions are used in regression
• Asymptotic Properties of Non-Linear Least Squares Estimators

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