This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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181
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Type:
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Contributed
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Date/Time:
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Monday, August 2, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Quality and Productivity
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| Abstract - #306678 |
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Title:
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Q Charts for the Exponential Distribution
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Author(s):
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Schalk William Human*+ and Subhabrata Chakraborti
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Companies:
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University of Pretoria and The University of Alabama
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Address:
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Lynnwood Road, Pretoria, International, 0002, South Africa
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Keywords:
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Control chart ;
Shewhart ;
Probability Integral Transformation ;
Run-length ;
Simulation ;
SPC
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Abstract:
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Q charts are developed for the exponential distribution when the parameter (mean) is known, unknown and partially known, respectively. The run-length distributions are examined and the performances of the charts are studied. The proposed charts can be used for individual observations and rational subgroups. It is well known that the Q charts are useful in various practical situations. For example, these charts are particularly advantageous in start-up situations when little or no information (Phase I data) is available to estimate the parameters before process monitoring starts. Moreover, because the charting statistics are plotted on a standardized normal scale, different charting statistics can be plotted on the same chart.
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