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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국자료분석학회 Journal of The Korean Data Analysis Society Journal of The Korean Data Analysis Society 제11권 제1호
- 발행연도
- 2009.1
- 수록면
- 53 - 61 (9page)
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초록· 키워드
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When the null hypothesis of equicorrelation structure is not rejected, and in the ensuing estimation process a considerably all common correlation coefficient is resulted, we may naturally need to consider the problem of testing for the mutual independence.
The purpose of this paper is to study statistics for testing the hypothesis of mutual independence versus equicorrelation and to investigate the empirical power of those statistics. The proposed statistics are likelihood ratio statistic and ellipsoidal elongation statistic based on eigenvalues of sample correlation matrix.
By the simulation results, we can suggest the ellipsoidal elongation statistic as a good test statistic for the case of p>0 under normality.
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참고문헌 (13)
참고문헌 신청
Aitkin, M. A / 1968 / Tests for correlation matrices / Biometrika 55 : 327 ~ 334
Gleser, L. J / 1968 / On testing a set of correlation coefficients for equality / Biometrika 55 : 513 ~ 517
Hopkins, J. W / 1966 / Some considerations in multivariate allometry / Biometrics 22 : 747 ~ 760
Joreskog, K. G / 1978 / Structural analysis of covariance and correlation matrices / Psychometrika 43 : 443 ~ 477
Jung, Y. C / 1996 / A Study on Testing for Independence versus Equicorrelation / Ph. D / Korea University
Gleser, L. J / 1968 / On testing a set of correlation coefficients for equality / Biometrika 55 : 513 ~ 517
Hopkins, J. W / 1966 / Some considerations in multivariate allometry / Biometrics 22 : 747 ~ 760
Joreskog, K. G / 1978 / Structural analysis of covariance and correlation matrices / Psychometrika 43 : 443 ~ 477
Jung, Y. C / 1996 / A Study on Testing for Independence versus Equicorrelation / Ph. D / Korea University
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