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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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