ADVANCES IN SEQUENTIAL BAYESIAN WORK SAMPLING.

James R. Buck, Ronald Askin, Jose M A Tanchoco

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Sequential Bayesian work sampling has been previously shown to be both more efficient and more adaptable than traditional methods of work sampling. However, a few deficiencies of the Bayesian approach remained. The advances to that methodology shown here greatly reduce or eliminate those deficiencies. These advances include beta parameter maps, confidence subinterval estimation in closed form, preposterior analysis, estimation methods for remaining sample sizes, and other aids to the management of Bayesian work-sampling studies.

Original languageEnglish (US)
Pages (from-to)19-30
Number of pages12
JournalIIE Transactions (Institute of Industrial Engineers)
Volume15
Issue number1
StatePublished - Mar 1983
Externally publishedYes

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Sampling
Sample size
Methodology
Bayesian approach
Confidence

ASJC Scopus subject areas

  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

Cite this

ADVANCES IN SEQUENTIAL BAYESIAN WORK SAMPLING. / Buck, James R.; Askin, Ronald; Tanchoco, Jose M A.

In: IIE Transactions (Institute of Industrial Engineers), Vol. 15, No. 1, 03.1983, p. 19-30.

Research output: Contribution to journalArticle

Buck, James R. ; Askin, Ronald ; Tanchoco, Jose M A. / ADVANCES IN SEQUENTIAL BAYESIAN WORK SAMPLING. In: IIE Transactions (Institute of Industrial Engineers). 1983 ; Vol. 15, No. 1. pp. 19-30.
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