Nonparametric tests for the multivariate multi-sample location problem

Statistica Sinica

Volumn 8, Issue 3, 1998, Pages 801-812

  Um, Yonghwan ^a   Randles, Ronald H ^a,b  

^a Sungkyul University   (South Korea)

^b Sungkyul University ^*  (United States)

Author keywords

Interdirections; Location problem; Multi sample; Multivariate; Nonparametric

Indexed keywords

EID: 0032385197     PISSN: 10170405     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

1. Hájek, J. and Šidák, Z. (1967). Theory of Rank Tests. Academic Press, New York.
2. Hettmansperger, T. P. and Oja, H. (1994). Affine invariant multivariate multisample sign tests. J. Roy. Statist. Soc. Ser. B 56, 235-249.
3. Hotelling, H. (1951). A generalized T test and measure of multivariate dispersion. Proceedings of the Second Berkeley Symposium on Mathematical Statistics and Probability 23-41. University of California Press, Berkeley.
4. Lawley, D. N. (1938). A generalization of Fisher's z-test. Biometrika 30, 180-187.
5. Oja, H. (1983). Descriptive statistics for multivariate distributions. Statist. Probab. Lett. 1, 327-332.
6. Peters, D. and Randles, R. H. (1990). A multivariate signed-rank test for the one-sample location problem. J. Amer. Statist. Assoc. 85, 552-557.
7. Puri, M. L. and Sen, P. K. (1971). Nonparametric Methods in Multivariate Analysis. Wiley, New York.
8. Randles, R. H. (1989). A distribution-free multivariate sign test based on interdirections. J. Amer. Statist. Assoc. 84, 1045-1050.
9. Randles, R. H. and Peters, D. (1990). Multivariate rank tests for the two-sample location problem. Comm. Statist. Theory Methods 19, 4225-4238.
10. Seber, G. A. F. (1984). Multivariate Observations. Wiley, New York.