An Alternative Sequential Approach to the Problem of Selecting the Best ofkPopulations
作者:
DennisD. Wackerly,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1977)
卷期:
Volume 72,
issue 358
页码: 464-468
ISSN:0162-1459
年代: 1977
DOI:10.1080/01621459.1977.10481022
出版商: Taylor & Francis Group
关键词: Sequential;Selection procedure;Best population;Large deviations approach
数据来源: Taylor
摘要:
Previous sequential solutions for selecting the population with the largest center of symmetry amongkpopulations differing only in location have taken the following approach: Let cs denote the event of correct selection and derive a stopping rule which is such that, for α > 0 preassigned, lim infP(cs) ≥ 1 − α as δ → 0 when δ = θ[k]− θ[k−1]and θ[i]is theith smallest center of symmetry. In the present article the fixed δ case is of primary concern, and rules which perform well as α → 0 are sought. A general method of solution is presented and applied to yield a procedure based on the sample means. Comparison with a previously developed rule is made.
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