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• W1518054849 abstract "This paper provides practical guidelines for choosing ef cient geometric and uniform designs for the logistic class of dose-response bioassay model functions in both the homoskedastic Gaussian and Binomial settings. The ef ciencies of the designs provided here are typically above 90%, and since the number of design support points generally exceeds the number of parameters, these designs provide a useful and ef cient means to con rm the assumed model. Extensions of our basic strategy include a Bayesian maxi-min design approach to re ect a range of values of the initial parameter estimates, as well as geometric/uniform design analogues when uncertainty exists as to the correct scale or to take account of curvature." @default.
• W1518054849 created "2016-06-24" @default.
• W1518054849 creator A5019491599 @default.
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• W1518054849 date "2009-01-01" @default.
• W1518054849 modified "2023-09-23" @default.
• W1518054849 title "EFFICIENT GEOMETRIC AND UNIFORM DESIGN STRATEGIES FOR SIGMOIDAL REGRESSION MODELS" @default.
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