The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Modern Robust Data Analysis Methods: Measures of Central Tendency.
Abstract
Various statistical methods, developed after 1970, offer the opportunity to substantially improve upon the power and accuracy of the conventional t test and analysis of variance methods for a wide range of commonly occurring situations. The authors briefly review some of the more fundamental problems with conventional methods based on means; provide some indication of why recent advances, based on robust measures of location (or central tendency), have practical value; and describe why modern investigations dealing with nonnormality find practical problems when comparing means, in contrast to earlier studies. Some suggestions are made about how to proceed when using modern methods.
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Fundamentals of Modern Statistical Methods: Substantially Improving Power and Accuracy
Wilcox, R. R. (2010) · doi:10.1007/978-1-4419-5525-8 · Cited by 404
Self-citationSome practical reasons for reconsidering the Kolmogorov‐Smirnov test
Wilcox, R. R. (1997) · British Journal of Mathematical and Statistical Psychology · doi:10.1111/j.2044-8317.1997.tb01098.x · Cited by 58
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Metadata
- Authors
- Wilcox, R. R., & Keselman, H. J.
- Venue
- Psychological Methods
- Published
- 2003
- Volume
- 8
- Issue
- 3
- Pages
- 254-274
- ISSN
- 1082-989X (ISSN-L)
- 1939-1463
- OpenAlex
- W2004921315
- Cited by
- 504
- References
- 2
- FWCI
- 8.15
- Type
- journal article
- Language
- en
- Open access
- closed
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