Estimating common parameters of growth curve models under a quadratic loss

DOI10.1080/03610928908830084zbMath0696.62265OpenAlexW2073174695MaRDI QIDQ3474047

Tatsuya Kubokaws

Publication date: 1989

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610928908830084

zbMATH Keywords

common meanmultivariate regressionunbiased estimatorseveral samples problem

Mathematics Subject Classification ID

Point estimation (62F10) General nonlinear regression (62J02)

Related Items

Comparison of Five Tests for the Common Mean of Several Multivariate Normal Populations ⋮ Estimation of a common multivariate normal mean vector ⋮ Alternative estimators of the common regression matrix in two GMANOVA models under weighted quadratic losses ⋮ Unbiased equivariant estimation of a common normal mean vector with one observation from each population

Cites Work

• Two inequalities with an application
• On estimating a common multivariate normal mean vector
• Estimating common parameters of growth curve models
• Estimating the common mean of several normal populations
• Minimax estimates of a normal mean vector for arbitrary quadratic loss and unknown covariance matrix
• A note on a Manova model applied to problems in growth curve
• Estimation of location parameters from two linear models under normality
• A note on estimating the common mean of k normal distributions and the stein problem
• A generalized multivariate analysis of variance model useful especially for growth curve problems
• Combining Unbiased Estimators

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