|Table of Contents|

Bayesian Statistical Quality Control Models Based on the Random Parameters(PDF)

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2004年04期
Page:
445-448
Research Field:
Publishing date:

Info

Title:
Bayesian Statistical Quality Control Models Based on the Random Parameters
Author(s):
ZHU Hui mingHAN Yu qi
School of Economics and Management,NUST,Nanjing 210094,China
Keywords:
Bayesian inference quality control chart norma-l inverted Gamma dist ribution predictive dist ribut ion density funct ion
PACS:
O212.8
DOI:
-
Abstract:
To ex plore the quality control problem for the product characterist ics when the unknow n parameters. prior distribut ions are the normal dist ribut ion or the norma-l inverted Gamma distribut ion, Bayesian methods are int roduced.According to the predict ive distribut ion dens-i ty funct ion of the object ives to be controlled, a class of process cont rol chart s are constructed, including Bayesian mean value cont rol chart and Bayesian mean value-standard deviat ion cont rol chart. T he result s show that the quality chart s based on classic statistical theory are a special of the Bayesian ones.

References:

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[ 2] 张连弟, 韩效宥1 用Basyes 方法修正质量控制限[ J] . 数学研究与评论, 1999, 19( 4) : 312~ 314.
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Last Update: 2013-03-11