A cautionary note on the use of non-parametric tests in the Analysis of Environmental Data

Environmetrics

Volumn 16, Issue 4, 2005, Pages 319-326

  Modarres, Reza ^a   Gastwirth, Joseph L ^a,b   Ewens, Warren ^c  

^a GEORGE WASHINGTON UNIVERSITY   (United States)

^b Institute of Cancer Research   (United States)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Dependence; Non parametric; Paired comparison; Permutation; Wilcoxon test

Indexed keywords

ENVIRONMENTAL RESEARCH; TESTING METHOD;

EID: 20444389428     PISSN: 11804009     EISSN: None     Source Type: Journal    
DOI: 10.1002/env.695     Document Type: Article

References (8)

1. Babu GJ, Padmanabhan A. 2002. Re-sampling methods for the Fisher-Behrens problem. Sankhya 64: 677-691.
2. El-Shaarawi AH, Damsleth E. 1988. Parametric and nonparametric tests for dependent data. Water Resources Bulletin 24(3): 513-519.
3. Gastwirth JL, Rubin H. 1971. Effects of dependence on the level of some one-sample tests. Journal of the American Statistical Association 66: 816-820.
4. Lehmann EL. 1986. Testing Statistical Hypotheses. John Wiley & Sons: New York.
5. Modarres R. 1995. Book review: permutation tests. The Journal of the American Statistical Society 90: 384.
6. Pratt JW. 1964. Robustness of some procedures for the two-sample location problem. Journal of the American Statistical Association 59: 665-680.
7. USEPA. 1992. Statistical methods for evaluating the attainment of cleanup standards. Volume 3: Reference-based standards for soils and solid media. United States Environmental Protection Agency, EPA 230-R-94-004.
8. Wetherill GB. 1960. The Wilcoxon test and non-null hypothesis. Journal of the Royal Statistical Society (B) 2: 402-418.