Estimation and model selection in an extended growth curve model

Author:

Fujikoshi Yasunori,Satoh Kenichi

Publisher

Hiroshima University - Department of Mathematics

Subject

Geometry and Topology,Algebra and Number Theory,Analysis

Reference11 articles.

1. [5] J. E. Grizzle and D. M. Allen, Analysis of growth and dose response curves, Biometrics, 25 (1969), 357-381.

2. [1] H. Akaike, Information theory and an extension of the maximum likelihood principle, In: 2nd International Symposium on Information Theory, Eds. B. N. Petrov and F. Csaki, pp. 267-281, Akademia Kiado, Budapest, 1973.

3. [2] E. J. Bedrick and C. L. Tsai, Model selection for multivariate regression in small samples, Biometrics, 50 (1994), 226-231.

4. [3] V. M. Chinchilli and R. K. Elswick, A mixture of the MANOVA and GMANOVA models, Comm. Staist-Theor. Meth., 14 (12) (1985), 3075-3089.

5. [4] L. J. Gleser and I. Olkin, Linear models in multivariate analysis, Essays in Prob. Statist., (R. C. Bose and Others, eds.), 267-292, Univ. North Carolina Press, Chapel Hill, N.C., 1973.

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1. The Basic Ideas of Obtaining MLEs: Unknown Dispersion;Bilinear Regression Analysis;2018

2. On two expressions of the MLE for a special case of the extended growth curve models;Linear Algebra and its Applications;2012-04

3. Estimation of Varying Coefficients for a Growth Curve Model;American Journal of Mathematical and Management Sciences;2010-02

4. Optimal designs in multivariate linear models;Statistics & Probability Letters;2007-02

5. Contributions to multivariate analysis by Professor Yasunori Fujikoshi;Journal of Multivariate Analysis;2006-10

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