Influential nonnegligible parameters under the search linear model |
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| Authors: | Subir Ghosh |
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| Institution: | Department of Statistics , University of California , Riverside, California, 92521 |
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| Abstract: | In this paper some results useful in detecting the Influential Nonnegligible parameters under the search linear model are presented. An estimator of the number of nonnegligible parameters which are significant and influental is also given. The methodologies discussed here seen to have potentiality in improving upon the Taugchi design methods where the higher order interactions are always assumed to be zero. |
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| Keywords: | factorial experiments influential parameters linear models residuals search treatment |
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