Optimal designs in growth curve models. I: Correlated model for linear growth: Optimal designs for slope parameter estimation and growth prediction

DOI10.1016/S0378-3758(96)00212-1zbMath0904.62085OpenAlexW2062483818MaRDI QIDQ1372871

Erkki P. Liski, Markus Abt, Nripes Kumar Mandal, Bikas Kumar Sinha

Publication date: 25 January 1999

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

Full work available at URL: https://doi.org/10.1016/s0378-3758(96)00212-1

zbMATH Keywords

predictioninformation matrixlinear modelautocorrelationintraclass correlation

Mathematics Subject Classification ID

Multivariate analysis (62H99) Estimation in multivariate analysis (62H12) Optimal statistical designs (62K05) Generalized linear models (logistic models) (62J12)

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Cites Work

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• A note on a Manova model applied to problems in growth curve
• A generalization of the growth curve model which allows missing data
• On the choice of optimality criteria in comparing statistical designs
• The Spacing of Observations in Polynomial Regression
• Optimum Designs in Regression Problems
• Efficiency Problems in Polynomial Estimation
• A generalized multivariate analysis of variance model useful especially for growth curve problems
• The theory of least squares when the parameters are stochastic and its application to the analysis of growth curves
• Optimum Allocation in Linear Regression Theory
• Spacing of Information in Polynomial Regression

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