The size and power of the exact bivariate symmetry test

Computational Statistics and Data Analysis

Volumn 26, Issue 1, 1997, Pages 53-69

  Hilton, Joan F ^a   Gee, Lauren ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Bioequivalence; Bivariate exchangeability hypothesis; Exact inference; Location scale alternatives; Monte Carlo estimator

Indexed keywords

ALGORITHMS; ASYMPTOTIC STABILITY; MONTE CARLO METHODS; SENSITIVITY ANALYSIS; STATISTICS;

SYMMETRY TESTS;

DATA REDUCTION;

EID: 0031556629     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-9473(97)00021-2     Document Type: Article

References (7)

1. Hauschke, D., Steinjans, V.W., Diletti, E., 1990. A distribution-free procedure for the statistical analysis of bioequivalence studies. Inter. J. Clinical Pharmacology, Therapy, Toxicol. 28, 72-78.
2. Hilton, J.F., Mehta, C.R., Patel, N.R., 1994. An algorithm for conducting exact Smirnov tests. Comput. Statist. Data Anal. 17, 353-361.
3. Hilton, J.F., 1996. A new asymptotic distribution for Hollander's bivariate symmetry test. Technical Report No. 53, Division of Biostatistics, University of California, San Francisco.
4. Hollander, M., 1973. Nonparametric Statistical Methods, Wiley, New York.
5. Hollander, M., 1971. A nonparametric test for bivariate symmetry. Biometrika 58, 203-212.
6. Kepner, J.L., Randles, R.H., 1984. Comparison of tests for bivariate symmetry versus location and/or scale alternatives. Commun. Statist.: Theor. Meth. 13, 915-930.
7. Koziol, J.A., 1979. A test for bivariate symmetry based on the empirical distribution function. Commun. Statist.: Theor. Meth. A8, 207-221.