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Economic Statistical Design of Inverse Gaussian Distribution Control Charts

Statistical quality control (SQC) is one technique companies are using in the development of a Total Quality Management (TQM) culture. Shewhart control charts, a widely used SQC tool, rely on an underlying normal distribution of the data. Often data are skewed. The inverse Gaussian distribution is a probability distribution that is wellsuited to handling skewed data. This analysis develops models and a set of tools usable by practitioners for the constrained economic statistical design of control charts for inverse Gaussian distribution process centrality and process dispersion. The use of this methodology is illustrated by the design of an x-bar chart and a V chart for an inverse Gaussian distributed process.

Identiferoai:union.ndltd.org:unt.edu/info:ark/67531/metadc332397
Date08 1900
CreatorsGrayson, James M. (James Morris)
ContributorsKvanli, Alan, Swanson, Carl L., Richards, John Virgil, 1928-, William, Donald R., Spalding, John Barney
PublisherUniversity of North Texas
Source SetsUniversity of North Texas
LanguageEnglish
Detected LanguageEnglish
TypeThesis or Dissertation
Formatvii, 104 leaves: ill., Text
RightsPublic, Grayson, James M. (James Morris), Copyright, Copyright is held by the author, unless otherwise noted. All rights reserved.

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