Single-stage sampling procedure of the t best populations under heteroscedasticity |
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Authors: | Miin-Jye Wen Li-Ching Huang |
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Affiliation: | 1. Department of Statistics, National Cheng Kung University, Tainan, Taiwan;2. Center for quantitative sciences, Vanderbilt University, Nashville, TN, USA |
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Abstract: | 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. |
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Keywords: | Normal distribution t distribution unknown and unequal variance. |
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