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http://dx.doi.org/10.5351/KJAS.2013.26.1.201

A Note on Model Selection in Mixture Experiments with Process Variables  

Kim, Jung Il (Department of Statistics, Kangwon National University)
Publication Information
The Korean Journal of Applied Statistics / v.26, no.1, 2013 , pp. 201-208 More about this Journal
Abstract
In this paper, we consider the mixture components-process variables model and propose a model selection strategy using MTS. This strategy is illustrated using an example that involves three mixture components and two process variables in a bread making experiment that was studied in several literatures.
Keywords
Mixture experiments; process variables; Mahalanobis Taguchi System;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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