Single-stage sampling procedure of the t best populations under heteroscedasticity

Miin Jye Wen; Li Ching Huang; Junjiang Zhong

doi:10.1080/03610926.2016.1206935

Single-stage sampling procedure of the t best populations under heteroscedasticity

Miin Jye Wen, Li Ching Huang, Junjiang Zhong

統計學系

研究成果: Article › 同行評審

4 引文斯高帕斯（Scopus）

摘要

Given k(⩾ 3) independent normal populations with unknown means and unknown and unequal variances, a single-stage sampling procedure to select the best t out of k populations is proposed and the procedure is completely independent of the unknown means and the unknown variances. For various combinations of k and probability requirement, tables of procedure parameters are provided for practitioners.

原文	English
頁（從 - 到）	9265-9273
頁數	9
期刊	Communications in Statistics - Theory and Methods
卷	46
發行號	18
DOIs	https://doi.org/10.1080/03610926.2016.1206935
出版狀態	Published - 2017 9月 17

All Science Journal Classification (ASJC) codes

統計與概率

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10.1080/03610926.2016.1206935

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Single-stage sampling procedure of the t best populations under heteroscedasticity

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