Two-stage procedures for selecting the best exponential population when the scale parameters are unknown and unequal
作者:
N. Mukhopadhyay,
H. I. Handy,
期刊:
Sequential Analysis
(Taylor Available online 1984)
卷期:
Volume 3,
issue 1
页码: 51-74
ISSN:0747-4946
年代: 1984
DOI:10.1080/07474948408836052
出版商: Marcel Dekker, Inc.
关键词: selection and ranking;largest location;unequal scales;studentized smaller chi-squares
数据来源: Taylor
摘要:
In this paper, we discuss two-stage procedures for selecting the largest location parameter among k (≥ 2) negative exponential populations having unknown and unequal scale parameters. We compare this new two-stage procedure for k = 2 with that of Mukhopadhyay (1984), and Mukhopadhyay's (1984) procedure comes out as the inferior one. To facilitate this comparison, we need a specialized table (Table I) for the Studentized smaller Chi-squares, and we provide with an exact method to do just that. The Table I is also very useful for another related problem discussed in Mukhopadhyay and Hamdy (1963). In the end, we present a limited simulation study about the moderate sample-size performances of the two-stage procedures in Mukhopadhyay (1984), and Mukhopadhyay and Hamdy (1983) for k = 2. However, for a general k (≥ 3), our newly developed two-stage procedures as developed here are the only ones known to us at this time.
点击下载:
PDF (2064KB)
返 回