A Saddlepoint Approximation to a Nonparametric Test for Ordered Alternatives

H. Murakami, T.H.M. Kawamura
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引用次数: 3

Abstract

The approximation for the distribution function of a test statistic is extremely important in statistics. On testing the hypothesis in a multisample problem, the Jonckheere-Terpstra test is often used for testing the ordered location parameters. Herein, we performed a saddlepoint approximation with continuity correction in the upper tails for the Jonckheere-Terpstra statistic under finite sample sizes. We then compared the saddlepoint approximation with Odeh’s approximation to obtain the exact critical value. The table of critical values was extended by using the saddlepoint approximation. Additionally, the orders of errors of a saddlepoint approximation were derived.
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有序方案非参数检验的鞍点逼近
检验统计量的分布函数的近似在统计学中是极其重要的。在多样本问题的假设检验中,Jonckheere-Terpstra检验常用于检验有序位置参数。在此,我们对有限样本量下的Jonckheere-Terpstra统计量进行了鞍点近似,并在上尾进行了连续性校正。然后将鞍点近似与Odeh近似进行比较,得到准确的临界值。利用鞍点近似对临界值表进行了扩展。此外,还推导了鞍点近似的误差阶数。
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