Log-Normal Versus Gamma Models for Analyzing Data from Quality-Improvement Experiments

Article

Das, Rabindra Nath; Lee, Youngjo   (ASQ; Taylor & Francis)   Department of Statistics, Burdwan University, Burdwan, W.B., India; Department of Statistics, Seoul National University, Korea

Quality Engineering    Vol. 21    No. 1
QICID: 27540    January 2009    pp. 79-87
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Article Abstract

[This abstract is based on the authors' abstract.] A gamma model with a constant coefficient of variation and a long-normal model with constant variance often give similar analyzes of data. In the analysis of data from quality improvement experiments, however, neither the coefficient of variation nor the variance needs to be constant, so that the two models do not necessarily give similar results. A choice must be made between the two models when conducting these experiments.

Keywords

Linear models, Dispersion analysis diagram, Lognormal distribution, Log-gamma distribution


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