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- W2074113363 abstract "We propose a modified nonparametric Baumgartner-Weiβ-Schindler test and investigate its use in testing for trends among K binomial populations. Exact conditional and unconditional approaches to p-value calculation are explored in conjunction with the statistic in addition to a similar test statistic proposed by Neuhäuser (2006), the unconditional approaches considered including the maximization approach (Basu, 1977), the confidence interval approach (Berger and Boos, 1994), and the E + M approach (Lloyd, 2008). The procedures are compared with regard to actual Type I error and power and examples are provided. The conditional approach and the E + M approach performed well, with the E + M approach having an actual level much closer to the nominal level. The E + M approach and the conditional approach are generally more powerful than the other p-value calculation approaches in the scenarios considered. The power difference between the conditional approach and the E + M approach is often small in the balance case. However, in the unbalanced case, the power comparison between those two approaches based on our proposed test statistic show that the E+ M approach has higher power than the conditional approach." @default.
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- W2074113363 date "2013-01-01" @default.
- W2074113363 modified "2023-09-23" @default.
- W2074113363 title "Some tests for detecting trends based on the modified Baumgartner–Weiß–Schindler statistics" @default.
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- W2074113363 doi "https://doi.org/10.1016/j.csda.2012.04.021" @default.
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