A bi-aspect nonparametric test for the multi-sample location problem

Computational Statistics and Data Analysis

Volumn 46, Issue 1, 2004, Pages 81-92

  Marozzi, Marco ^a  

^a UNIVERSITY OF MILAN   (Italy)

Author keywords

Nonparametric combination of dependent tests; Nonparametric methods; Permutation tests; Power; Type one error rate

Indexed keywords

ERROR ANALYSIS; POPULATION STATISTICS; STATISTICAL TESTS;

LOCATION SHIFTS; MULTI-SAMPLE LOCATION PROBLEM; PERMUTATION;

STATISTICAL METHODS;

NUMERICAL METHOD;

EID: 2142809698     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-9473(03)00143-9     Document Type: Article

References (6)

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2. Lehmann E.L. Testing Statistical Hypotheses 2nd Edition 1986 Wiley New York
3. Ludbrook J. Dudley H. Why permutation tests are superior to t and F tests in biomedical research Amer. Statist. 52 1998 127-132
4. Marozzi, M., 2003. A bi-aspect nonparametric test for the two-sample location problem. Comput. Statist. Data Anal., forthcoming.
5. Pesarin F. A resampling procedure for nonparametric combination of several dependent tests J. Italian Statist. Soc. 1 1992 87-101
6. Pesarin F. Multivariate Permutation Tests with Applications in Biostatistics 2001 John Wiley Chichester