Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0167-9473(01)00033-0
Title: Zero-inflated poisson model in statistical process control
Authors: Xie M., He B. 
Keywords: Average run length
Count data
Hypothesis testing
Power of test
Simulation
Statistical process control
Zero-inflated poisson distribution
Issue Date: 28-Dec-2001
Source: Xie M., He B. (2001-12-28). Zero-inflated poisson model in statistical process control. Computational Statistics and Data Analysis 38 (2) : 191-201. ScholarBank@NUS Repository. https://doi.org/10.1016/S0167-9473(01)00033-0
Abstract: Poisson distribution has often been used for count related data. However, this model does not provide a good fit to actual data when there is a frequent or excessive number of zero counts. For example, in a near zero-defect manufacturing environment, there are many zero-defect counts even for fairly large sample size. In such a situation, the zero-inflated Poisson distribution is more appropriate. In this paper, the use of this distribution is investigated. In particular, various tests of Poisson distribution and zero-inflated Poisson alternative are compared. When the model is used in statistical process control, control limits can then be derived based on the zero-inflated Poisson model when the Poisson distribution is rejected in favour of the zero-inflated Poisson alternative. Furthermore, sensitivity analysis of such a control chart is also presented. © 2001 Published by Elsevier Science B.V.
Source Title: Computational Statistics and Data Analysis
URI: http://scholarbank.nus.edu.sg/handle/10635/63395
ISSN: 01679473
DOI: 10.1016/S0167-9473(01)00033-0
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

49
checked on Dec 6, 2017

WEB OF SCIENCETM
Citations

35
checked on Nov 21, 2017

Page view(s)

50
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.