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                                       Details for article 12 of 19 found articles
 
 
  On the α-risks for shewhart control charts
 
 
Title: On the α-risks for shewhart control charts
Author: Padgett, C.S.
Thombs, L.A.
Padgett, W.J.
Appeared in: Communications in statistics
Paging: Volume 21 (1992) nr. 4 pages 1125-1147
Year: 1992
Contents: The performance of the usual Shewhart control charts for monitoring process means and variation can be greatly affected by nonnormal data or subgroups that are correlated. Define the αk-risk for a Shewhart chart to be the probability that at least one “out-of-control” subgroup occurs in k subgroups when the control limits are calculated from the k subgroups. Simulation results show that the αk-risks can be quite large even for a process with normally distributed, independent subgroups. When the data are nonnormal, it is shown that the αk-risk increases dramatically. A method is also developed for simulating an “in-control” process with correlated subgroups from an autoregressive model. Simulations with this model indicate marked changes in the αk-risks for the Shewhart charts utilizing this type of correlated process data. Therefore, in practice a process should be investigated thoroughly regarding whether or not it is generating normal, independent data before out-of-control points on the control charts are interpreted to be due to some real assignable cause.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 12 of 19 found articles
 
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