Testing the Mean Vector and the Correlation Coefficient in Life‐Testing Under Bivariate Normality | Zendy

Tiku M. L. | Zendy; Gill P. S. | Zendy

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Testing the Mean Vector and the Correlation Coefficient in Life‐Testing Under Bivariate Normality

Author(s) -

Tiku M. L.,

Gill P. S.

Publication year - 1990

Publication title -

biometrical journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.108

H-Index - 63

eISSN - 1521-4036

pISSN - 0323-3847

DOI - 10.1002/bimj.4710320802

Subject(s) - normality , bivariate analysis , statistics , mathematics , correlation coefficient , correlation , normality test , multivariate normal distribution , econometrics , statistical hypothesis testing , multivariate statistics , geometry

In life‐testing situations under bivariate normality of ( X, U ), a few smallest or a few largest Y ‐observations may not be available. Tests for μ = 0 (mean vector) and o = 0 (correlation coefficient) are developed from the available Y ‐observations and their concomitant X ‐observations. The robustness of these tests to departures from normality is investigated.

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