Statistical inference for parallelism hypothesis in growth curve model
Author:
Affiliation:
1. Department of Mathematics, Graduate School of Science and Engineering, Chuo University, Bunkyo-ku, Tokyo 112-8551, Japan
Publisher
SUT Journal of Mathematics - Tokyo University of Science
Subject
General Mathematics
Reference9 articles.
1. [1] Fujikoshi, Y. (1981). The power function of the likelihood ratio test for additional information in a multivariate linear model. Ann. Inst. Statist. Math., 33, 279–285.
2. [2] Fujikoshi, Y., Kanda, T. and Ohtaki, M. (1999). Growth curve models with hierarchical within-individuals design matrices. Ann. Inst. Statist. Math., 51, 707–721.
3. [3] Fujikoshi, Y. (2009). Confidence intervals and model selection criteria in profile analysis. submitted.
4. [4] Gleser, L. J and Olkin (1970). Linear models in multivariate analysis. Essays in Prob. Statist., (R.C. Bose and Others, eds.), Univ. North Carolina Press, Chapel Hill, N.C., 267–292.
5. [5] Greenhouse and Geisser (1959). On the methods in the analysis of profile data. Psychometrika, 24, 95–112.
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