Journal of the Korean Statistical Society

The Korean Statistical Society (한국통계학회)
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Optimal Restrictions on Regression Parameters For Linear Mixture Model

  • Published : 1999.09.01
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Abstract

Collinearity among independent variables can have severe effects on the precision of response estimation for some region of interest in the experiments with mixture. A method of finding optimal linear restriction on regression parameter 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.

Keywords

References

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