连续指数总体间比较的降压法

Q3 Business, Management and Accounting American Journal of Mathematical and Management Sciences Pub Date : 2021-12-23 DOI:10.1080/01966324.2021.2007189
Jatesh Kumar, Vikram Singh Brahm, A. N. Gill
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引用次数: 0

摘要

摘要本文讨论了在假定连续的双参数指数总体以某种自然方式有序的情况下,它们相对于位置参数的比较。在文献中有很好的报道,如果实验者的兴趣只是在测试差异的显著性,逐步程序比同步置信区间程序更强大。这一事实促使我们将Singh等人(2006)针对连续指数总体位置参数差异的同步置信区间程序扩展为逐步程序,提出了同时测试连续双参数指数总体位置参数差异显著性的降压检验。对于给定的i型家庭误差率(FWER),为从业者提出的程序的实施列出了关键常数。与Singh等人(2006)的方法相比,所提出的方法的优势通过一个数值例子得到了证明。
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Step-Down Procedure for Comparison between Successive Exponential Populations
Abstract This article deals with the comparison between successive two-parameter exponential populations with respect to the location parameter when it is reasonable to assume that the populations are ordered in some natural way. It is well reported in the literature that if the interest of the experimenter is only in testing the significance of differences, the stepwise procedures are more powerful than the simultaneous confidence intervals procedures. This fact motivated us to extend the simultaneous confidence intervals procedure, for the differences between the location parameters of successive exponential populations, of Singh et al. (2006) to a stepwise procedure by proposing step-down tests for simultaneously testing the significance of the differences of the location parameters of successive two-parameter exponential populations. For a given type-I family-wise error rate (FWER), the critical constants are tabulated for the implementation of the proposed procedure by the practitioners. The advantage of the proposed procedure in comparison to the Singh et al. (2006) procedure is demonstrated by using a numerical example.
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来源期刊
American Journal of Mathematical and Management Sciences
American Journal of Mathematical and Management Sciences Business, Management and Accounting-Business, Management and Accounting (all)
CiteScore
2.70
自引率
0.00%
发文量
5
期刊最新文献
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