POWER COMPARISON OF HYPOTHESIS TESTING FOR AN INTERMEDIATE LATENT VECTOR OF COVARIANCE MATRIX

Abstract

We consider the test of equality of the latent vector and a specified vector. In this paper, we discuss three criteria for testing hypothesis. The test statistic Λ_1 is the inner product of the sample latent vector and the specified vector. The statistic Λ_2 is the α-th factor of some likelihood ratio criterion. The Λ_3 is the statistic given by T. W. Anderson. We calculate the percentiles based on the exact distribution of the statistic Λ_2. To compute the power, we obtained the non-null distribution of the statistic Λ_1, Λ_2 and Λ_3. And we compare the power of test using these three criteria on a bivariate and trivariate normal distribution.

Journal

Journal of the Japanese Society of Computational Statistics   [List of Volumes]

Journal of the Japanese Society of Computational Statistics 10(1), 73-88, 1997-12  [Table of Contents]

Japanese Society of Computational Statistics

References:  5

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Cited by:  5

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Codes

  • NII Article ID (NAID) :
    110001235558
  • NII NACSIS-CAT ID (NCID) :
    AA10823693
  • Text Lang :
    ENG
  • Article Type :
    Journal Article
  • ISSN :
    09152350
  • Databases :
    CJP  CJPref  NII-ELS 

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