Robust Parameter Design Via Bayesian Generalizedlinear Models

Abstract

Generalized linear models (GLM) are discussed in this paper, which are used widely in the field of robust parameter design involving non-normal response variables. As for the estimation problems such as data over-dispersion which exist generally in robust parameter design, the Markov chain Monte Carlo (MCMC) approach based on adaptive rejection metropolis… (More)

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