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The Poisson distribution is a popular distribution for modeling count data, yet it is constrained by its equidispersion assumption, making it less than ideal for modeling real data that often exhibit over‐dispersion or under‐dispersion. The COM‐Poisson distribution is a two‐parameter...
In many quality control applications, the necessary distributional assumptions to correctly apply the traditional parametric control charts are either not met or there is simply no enough information or evidence to verify the assumptions. It is well known that the performance of many parametric...
We present a framework for developing hierarchical models for predicting system health (e.g. probability of failure within a given mission duration), based on component‐level reliability and degradation models. Component models may be specified as parametric probability distributions or...
This article proposes a method for Pareto charting that is based on unsupervised, freestyle text such as customer complaint, rework, scrap, or maintenance event descriptions. The proposed procedure is based on a slight extension of the latent Dirichlet allocation method to form multifield latent...
We give a description of the steps leading to a robustification of a dose–response study. The original experiment was designed and described by Rosenberger and Grill (1997) and has since been discussed by several other groups of researchers. Our robustification consists of redesigning the...
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