A weighted Kuiper statistic for goodness of fit
J. A. Koziol
Statistica Neerlandica, 1996, vol. 50, issue 3, 394-403
Abstract:
A variance‐weighted Kuiper statistic for goodness of fit is studied. The exact finite sample distribution can be obtained through modification of Noé's (1972) algorithm. Asymptotic distribution theory for the statistic is available from Jaeschke (1979) and Eicker (1979), but this theory does not lead to useful approximations with finite sample sizes less than 100. Monte Carlo power studies demonstrate that the weighted Kuiper statistic is especially sensitive to alternatives that are not stochastically ordered relative to the postulated null distribution.
Date: 1996
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https://doi.org/10.1111/j.1467-9574.1996.tb01505.x
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Persistent link: https://EconPapers.repec.org/RePEc:bla:stanee:v:50:y:1996:i:3:p:394-403
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