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Showing 1 to 5 of 5 for “"Conjugate prior"”.
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Complete classes of two-stage estimation procedures for certain finite sample problems
… exponential family distributions with respect to conjugate prior distributions. The procedures consist of stating $n\sb1$, the size of the first sample; $n\sb2$, the size of the second sample which depends on the data from the first sample; and finally the point estimate, which depends on the …
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First and Second Order Efficiency of Sequential Designs in a Nonlinear Situation with Applications
… on the parameters, which are unknown a priori. In such circumstances, choosing the next design points adaptively by making good use of information being collected so far, namely, designing the experiment sequentially, is appropriate. In this study, the problem of estimating a nonlinear …
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Sequential optimization through adaptive design of experiments
… corresponding principal moments when a natural conjugate prior is assigned to parameters that are not known with certainty are also derived. For the case of compact design space, I expand the treatment of OFAT by the removal of two restrictions imposed on the discrete design space. The first is …
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On the measurement of blinding in randomized, controlled trials.
… implementing a Bayesian approach using a flat conjugate prior structure yields similar results to the frequentist approach James and Bang take. A guidance is given to aid in educating regulatory officials and trial investigators on the importance reporting blinding results and providing at …
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The effects of three different priors for variance parameters in the normal-mean hierarchical model
Many prior distributions are suggested for variance parameters in the hierarchical model. The “Non-informative” interval of the conjugate inverse-gamma prior might cause problems. I consider three priors – conjugate inverse-gamma, log-normal and truncated normal for the variance parameters and do …