LAN, LAM and convergence of iterative ML estimates; optimal design in Gaussian one-way mixed model

DOI10.1016/S0378-3758(01)00138-0zbMath0987.62048WikidataQ126815380 ScholiaQ126815380MaRDI QIDQ5957829

Rostislav S. Protassov, M. B. Malyutov

Publication date: 30 June 2002

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

zbMATH Keywords

convergence of iterative estimatesGaussian mixed one-way modelLAM of MLE

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Optimal statistical designs (62K05) Analysis of variance and covariance (ANOVA) (62J10) Asymptotic properties of parametric tests (62F05)

Related Items (1)

Functional approach to the asymptotic normality of the nonlinear least squares estimator

Cites Work

• Asymptotic properties of maximum likelihood estimates in the mixed model of the analysis of variance
• Multilevel mixed linear model analysis using iterative generalized least squares
• Maximum-likelihood estimation for the mixed analysis of variance model
• Asymptotic Properties of Non-Linear Least Squares Estimators
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