Advances in Sequential Bayesian Work Sampling
作者:
JamesR. Buck,
RonaldG. Askin,
JoseM. A. Tanchoco,
期刊:
IIE Transactions
(Taylor Available online 1983)
卷期:
Volume 15,
issue 1
页码: 19-30
ISSN:0740-817X
年代: 1983
DOI:10.1080/05695558308974609
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
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.
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