Multivariate Analysis Tests Concerning EquicorrelationMatrices with Grouped Normal Data
نویسندگان
چکیده
This article considers three practical hypotheses involving the equicorrelation matrix for grouped normal data. We obtain statistics and computing formulae for common test procedures such as the score test and the likelihood ratio test. In addition, statistics and computing formulae are obtained for various small sample procedures as proposed in Skovgaard (2001). The properties of the tests for each of the three hypotheses are compared using Monte Carlo simulations.
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ارزیابی روش‌های گروه‌بندی ژنوتیپ های کلزا با استفاده از تجزیه تابع تشخیص خطی فیشر
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متن کاملارزیابی روش‌های گروه‌بندی ژنوتیپ های کلزا با استفاده از تجزیه تابع تشخیص خطی فیشر
Discrimination function analysis is a method of multivariate analysis that can be used for determination of validity in cluster analysis. In this study, Fisher’s linear discrimination function analysis was used to evaluate the results from different methods of cluster analysis (i.e. different distance criteria, different cluster procedures, standardized and un-standardized data). Furthermore, H...
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This paper considers three practical hypotheses involving the equicorrelation matrix for grouped normal data. We obtain statistics and computing formulae for common test procedures such as the score test and the likelihood ratio test. In addition, statistics and computing formulae are obtained for various small sample procedures as proposed in Skovgaard (2001). The properties of the tests for e...
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