Bayesian D -optimal designs for error-in-variables models
نویسندگان
چکیده
منابع مشابه
1 3 M ay 2 01 6 Bayesian D - optimal designs for error - in - variables models
Bayesian optimality criteria provide a robust design strategy to parameter misspecification. We develop an approximate design theory for Bayesian D-optimality for nonlinear regression models with covariates subject to measurement errors. Both maximum likelihood and least squares estimation are studied and explicit characterisations of the Bayesian D-optimal saturated designs for the Michaelis-M...
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ژورنال
عنوان ژورنال: Applied Stochastic Models in Business and Industry
سال: 2017
ISSN: 1524-1904
DOI: 10.1002/asmb.2226