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Title: On testing hypotheses in the generalized Skillings-Mack random blocks setting (English)
Author: Rublík, František
Language: English
Journal: Kybernetika
ISSN: 0023-5954
Volume: 47
Issue: 5
Year: 2011
Pages: 657-677
Summary lang: English
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Category: math
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Summary: The testing of the null hypothesis of no treatment effect against the alternative of increasing treatment effect by means of rank statistics is extended from the classical Friedman random blocks model into an unbalanced design allowing treatments not to be applied simultaneously in each random block. The asymptotic normality of the constructed rank test statistic is proved both in the setting not allowing ties and also for models with presence of ties. As a by-product of the proofs a multiple comparisons rule based on rank statistics is obtained for the case when the null hypothesis of no treatment effect is tested against the general alternative of its negation. (English)
Keyword: rank test
Keyword: random blocks
Keyword: hypotheses testing
Keyword: increasing treatment effect
Keyword: asymptotic distribution
MSC: 62G10
idZBL: Zbl 1238.62056
idMR: MR2850455
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Date available: 2011-11-10T15:32:44Z
Last updated: 2013-09-22
Stable URL: http://hdl.handle.net/10338.dmlcz/141682
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Reference: [1] Conover, W. J.: Rank tests for one sample, two samples, and k samples without the assumption of a continuous distribution function.Ann. Statist. 1 (1973), 1105–1125. Zbl 0275.62042, MR 0350953, 10.1214/aos/1176342560
Reference: [2] Conover, W. J.: Practical Nonparametric Statistics.Third edition. John Wiley & Sons, Inc., New York 1999.
Reference: [3] Friedman, M.: The use of ranks to avoid the assumption of normality implicit in the analysis of variance.J. Amer. Statist. Assoc. 32 (1937), 675–701. 10.1080/01621459.1937.10503522
Reference: [4] Hájek, J.: A Course in Noparametric Statistics.Holden Day, San Francisco 1969. MR 0246467
Reference: [5] Hájek, J., Šidák, Z., Sen, P. K.: Theory of Rank Tests.Academic Press, New York 1999. MR 1680991
Reference: [6] Lehmann, E. L.: Nonparametrics.Statistical Methods Based on Ranks. Springer Science and Business Media, New York 2006. Zbl 1217.62061, MR 2279708
Reference: [7] Page, E. B.: Ordered hypotheses for multiple treatments: A significance test for linear ranks.J. Amer. Statist. Assoc. 58 (1963), 216–230. Zbl 0114.11102, MR 0145623, 10.1080/01621459.1963.10500843
Reference: [8] Skillings, J. H., Mack, G. A.: On the use of a Friedman–type statistic in balanced and unbalanced block designs.Technometrics 23 (1981), 171–177. Zbl 0478.62060, 10.1080/00401706.1981.10486261
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