The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Methodology and Application of the Kruskal-Wallis Test
Open accessAbstract
This paper describes the methodology and application of the very popular nonparametric test which is a rank based test named as Kruskal-Wallis. This test is useful as a general nonparametric test for comparing more than two independent samples. It can be used to test whether such samples come from the same distribution. This test is powerful alternative to the one-way analysis of variance. Nonparametric ANOVA has no assumption of normality of random error but the independence of random error is required. If the Kruskal-Wallis statistic is significant, the nonparametric multiple comparison tests are useful methods for further analysis. The statistical analysis of the application data in this paper was performed with software MATLAB.
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Citations
Cites
Use of Ranks in One-Criterion Variance Analysis
Kruskal, W. H., & Wallis, W. A. (1952) · Journal of the American Statistical Association · doi:10.1080/01621459.1952.10483441 · Cited by 13,912
Nonparametric Statistical Inference
(2012) · SpringerReference · doi:10.1007/springerreference_205502 · Cited by 2,386
Applied Statistics and Probability for Engineers
Alexander, M. T. (1995) · Technometrics · doi:10.1080/00401706.1995.10484379 · Cited by 1,042
Statistics review 10: further nonparametric methods.
Bewick, V., Cheek, L., & Ball, J. (2004) · Critical Care · doi:10.1186/cc2857 · Cited by 250
Mathematical Nonparametric Statistics.
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Metadata
- Authors
- Ostertagová, E., Ostertag, O., & Kováč, J.
- Venue
- Applied Mechanics and Materials
- Publisher
- Trans Tech Publications, Ltd.
- Published
- 2014-08
- Volume
- 611
- Pages
- 115-120
- ISSN
- 1660-9336 (ISSN-L)
- 1662-7482
- OpenAlex
- W2003572185
- Cited by
- 873
- References
- 5
- FWCI
- 0.69
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Ostertagová, E., Ostertag, O., & Kováč, J. (2014). Methodology and Application of the Kruskal-Wallis Test. Applied Mechanics and Materials. https://doi.org/10.4028/www.scientific.net/amm.611.115
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