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Statistical quality control for ternary ordinal quality data

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  • Emil Bashkansky
  • Tamar Gadrich

Abstract

The paper considers various aspects of statistical quality control by means of sample data received on a ternary ordinal scale. A new method for evaluating quality level and dispersion, free of any latent numerical scale assumptions, is proposed. The emphasis is on working with large samples, which enable the statistical analysis, estimation and control by the use of approximate analytical expressions of these measures to be considerably simplified. Two complementary studies demonstrate the usage of the proposed approach. Copyright © 2010 John Wiley & Sons, Ltd.

Suggested Citation

  • Emil Bashkansky & Tamar Gadrich, 2011. "Statistical quality control for ternary ordinal quality data," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 27(6), pages 586-599, November.
    • Handle: RePEc:wly:apsmbi:v:27:y:2011:i:6:p:586-599
    DOI: 10.1002/asmb.868
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