A comparison of two nonparametric $k$-sample slippage tests

R. Doornbos; W.L.M.M. Senden

doi:10.1111/j.1467-9574.1972.tb00183.x

A comparison of two nonparametric $k$-sample slippage tests

R. Doornbos, W.L.M.M. Senden

Department of Mathematics and Computer Science

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The tests which are discussed here are Mosteller's k-sample slippage test for an extreme population [8] and the k-sample slippage analogue of the Wilcoxon two-sample test proposed by Doornbos and Prins [3]. A comparison is made between both tests in respect of their consistency against normal, exponential and uniform shifts and against Lehmann-alternatives. For some small sample sizes the powers of the two tests have been calculated.

Originele taal-2	Engels
Pagina's (van-tot)	145H-154H
Aantal pagina's	10
Tijdschrift	Statistica Neerlandica
Volume	26
Nummer van het tijdschrift	3
DOI's	https://doi.org/10.1111/j.1467-9574.1972.tb00183.x
Status	Gepubliceerd - 1972

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10.1111/j.1467-9574.1972.tb00183.x

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