Abstract
This work investigates the use of stochastic modeling and statistical estimation to study patterns of defects in or on products. We conjecture about underlying defect patterns by estimating the unknown intensity function based on the observed defects. This work does not assume the patterns follow a parametric form and therefore the described estimate is flexible enough to be used in many different production settings. Details for estimation are provided and an example is presented using data collected from a steel rolling process.
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