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Control of Inverse Gaussian Processes

Summary: [This abstract is based on the author's abstract.]

Typically, control charts used to monitor process centrality and dispersion either assume normally distributed output or appeal to the viability of the central limit theorem. The appeal is often made on behalf of samples comprising ten or fewer items. Control charts for centrality and dispersion are presented for processes with inverse Gaussian-(IG) distributed output.

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  • Topics: Quality Control
  • Keywords: Gaussian curve, Statistical quality control (SQC), Control charts
  • Author: Edgeman, Rick L.
  • Journal: Quality Engineering