A composite stopping rule for multinomial subset selection

Pinyuen Chen, Lifang Hsu

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

The paper studies a sequential procedure R for selecting a random size subset that contains the multinomial cell which has the largest cell probability. The stopping rule of the proposed procedure R is the composite of the stopping rules of curtailed sampling, inverse sampling, Ramsey–Alam sampling, and the truncation of fixed‐sample‐size procedure. A property on the worst configuration is shown, and it is employed in computing the procedure parameters that guarantee certain probability requirements. Tables of these procedure parameters, the corresponding probability of correct selection, the expected sample size, and the expected subset size are given for comparison. 1991 The British Psychological Society

Original languageEnglish (US)
Pages (from-to)403-411
Number of pages9
JournalBritish Journal of Mathematical and Statistical Psychology
Volume44
Issue number2
DOIs
StatePublished - 1991

Fingerprint

Subset Selection
Stopping Rule
Composite
Inverse Sampling
Probability of Correct Selection
Sequential Procedure
Subset
Cell
Truncation
Tables
Sample Size
Configuration
Computing
Requirements
Sampling

ASJC Scopus subject areas

  • Statistics and Probability
  • Arts and Humanities (miscellaneous)
  • Psychology(all)

Cite this

A composite stopping rule for multinomial subset selection. / Chen, Pinyuen; Hsu, Lifang.

In: British Journal of Mathematical and Statistical Psychology, Vol. 44, No. 2, 1991, p. 403-411.

Research output: Contribution to journalArticle

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