OPTIMAL RESTRICTIONS ON REGRESSION PARAMETERS FOR LINEAR MIXTURE MODEL

  • Published : 1998.11.01

Abstract

A method of finding optimal linear restriction on regression parameters in linear model for mixture experiments in the sense of minimizing integrated mean squared error is studied. We use the formulation of optimal restrictions on regression parameters for estimating responses proposed by Park(1981) by transforming mixture components to mathematically independent variables.

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