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Bayesian Optimal Designs for Surveillance Procedures in Attribute Life Testing

机译:属性寿命测试中监视程序的贝叶斯最优设计

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Design of experiments for estimation of parameters in non-linear models is studied in a Bayesian framework, with the objective of maximization of the anticipated Fisher information. Two stage optimal designs are proposed in attribute life situations. (Author)

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