基于归一化间隔的极值分布和威布尔分布的检验。

R. Lockhart, F. O'Reilly, M. Stephens
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引用次数: 20

摘要

本文讨论的是极值分布的检验,或等价地,当参数未知且样本可能被截割时,对双参数威布尔分布的检验。调查的三个检验是基于中位数、平均值和安德森-达林A2统计量,这些统计量是从样本间隔中得出的一组值计算出来的。Mann、Scheuer和Fertig[10]以及Tiku和Singh[14]已经讨论过中位数和平均值。根据最新发展的理论,给出了检验统计量的渐近分布和点,并进行了幂次研究,将它们相互比较,并与其他两个适合检验的统计量进行比较。在归一化间距测试中,推荐使用A2;平均数在许多情况下也有很好的作用,但可能是不一致的。
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Tests for the Extreme Value and Weibull Distributions Based on Normalized Spacings.
Discussed in this article are tests for the extreme-value distribution, or, equivalently, for the two-parameter Weibull distribution when parameters are unknown and the sample may be censored. The three tests investigated are based on the median, the mean, and the Anderson-Darling A2 statistic calculated from a set zi of values derived from the spacings of the sample. The median and the mean have previously been discussed by Mann, Scheuer, and Fertig [10] and by Tiku and Singh [14]. Asymptotic distributions and points are given for the test statistics, based on recently developed theory, and power studies are conducted to compare them with each other and with two other statistics suitable for the test. Of the normalized spacings tests, A2 is recommended overall; the mean also gives good power in many situations, but can be nonconsistent.
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