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Statistical quality control for ternary ordinal quality data
Author(s) -
Bashkansky Emil,
Gadrich Tamar
Publication year - 2010
Publication title -
applied stochastic models in business and industry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.413
H-Index - 40
eISSN - 1526-4025
pISSN - 1524-1904
DOI - 10.1002/asmb.868
Subject(s) - ordinal data , ordinal scale , computer science , quality (philosophy) , scale (ratio) , control (management) , statistics , econometrics , statistical process control , ternary operation , data mining , sample (material) , mathematics , artificial intelligence , geography , philosophy , chemistry , programming language , operating system , cartography , epistemology , process (computing) , chromatography
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.