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Title: Remark on the rank tests in the case of censored samples (English)
Author: Vorlíčková, Dana
Language: English
Journal: Aplikace matematiky
ISSN: 0373-6725
Volume: 20
Issue: 5
Year: 1975
Pages: 372-377
Summary lang: English
Summary lang: Czech
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Category: math
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Summary: In the paper rank test statistics for testing the hypothesis of randomness are constructed for the case where only some observations are exactly measurable and the other ones are only known to lie in the intervals $(y_{j-1},y_j), \ 1\leq j\leq k, \ y_0< ... <y_k$. The observations lying in the same interval are treated as a tie in the case of noncontinuous distribution. The method of randomization and the method of averaged scores are used for the construction of linear statistics. The asymptotic normality of these statistics under the hypothesis and under contiguous alternatives is established. ()
MSC: 62E20
MSC: 62G10
MSC: 62G20
idZBL: Zbl 0346.62039
idMR: MR0386145
DOI: 10.21136/AM.1975.103602
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Date available: 2008-05-20T18:02:06Z
Last updated: 2020-07-28
Stable URL: http://hdl.handle.net/10338.dmlcz/103602
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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] Johnson R. A., Mehrotra K. G.: Locally most powerful rank tests for the two sample problem with censored data.Ann. Math. Statist. 43 (1972), 823 - 831. Zbl 0246.62035, MR 0314176, 10.1214/aoms/1177692548
Reference: [3] Peto R., Peto J.: Asymptotically efficient rank invariant test procedures.J. Roy. Statist. Soc. Ser. A, 135 (1972), 185-206. 10.2307/2344317
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