期刊名称：Electronic Journal of Applied Statistical Analysis
电子版ISSN：2070-5948
出版年度：2013
卷号：6
期号：2
页码：175-185
DOI：10.1285/i20705948v6n2p175
语种：English
出版社：University of Salento
摘要：Berliner (1987) discussed the issue of controlling the output (response) towards the specified value by choosing the values for independent variables in a regression mixture model, taking it as a Bayesian Decision Problem. The quantification of the potential loss was done with the help of quadratic loss function, which was a symmetric loss function. We have tried to quantify this loss with the help of Precautionary Loss Function and Modified Squared Error Loss Function, in linear Scheffé mixture model and comparison is established between these loss function. Results are improved as compared to Berliner (1987).
关键词：Bayesian control in Mixture; Bayes estimator; ; Loss function; Modified Squared Error Loss Function; Posterior risk; Precautionary Loss Function
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