Titlebook: IUTAM Symposium on Elementary Vortices and Coherent Structures: Significance in Turbulence Dynamics; Proceedings of the I SHIGEO KIDA Confe

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Kiyosi Horiuti,Yohei Takagi,Syouji Abe. = 1,…, .. We select the population with the largest mean, the population with the smallest standard deviation, or the population with the smallest coefficient of variation. Selection and estimation occur simultaneously. Our method is sampling based, and uses Monte Carlo integration accommodated by

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Naoya Takahashi,Takeshi Miyazaki. = 1,…, .. We select the population with the largest mean, the population with the smallest standard deviation, or the population with the smallest coefficient of variation. Selection and estimation occur simultaneously. Our method is sampling based, and uses Monte Carlo integration accommodated by

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Paolo Orlandi,Stefano Leonardi,Robert Anthony Antoniasumptions. Because of the small numbers, sensitivity to prior distribution specifications was considerable, and we compared the effect of assuming independent prior distributions on each cell in the 3 × 2 factorial with that of using a more structured prior distribution incorporating exchangeable ro

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dose is sequential, in the following sense. As patients are treated, they are followed and their responses are communicated to a central database. Doses are assigned to subsequent patients so as to obtain maximal and rapid information about the dose-response curve. We impute missing final responses

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Javier Jiménez,Genta Kawahara,Mark P. Simens,Juan C. del álamose using order-restricted parameters with unknown change points. First, proper, seemingly noninformative prior distributions may overwhelm the likelihood (Gelman, 1996). Using a simple example, we demonstrate this problem and propose a solution. Second, we discuss problems with two straightforward M

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Toshio Miyauchi,Shin-Jeong Kang,Mamoru Tanahashiplemented) and the rigorous data collection and compliance-encouraging efforts. In fact, this study benefits from the authors’ previous experiences with the analysis of data from the Milwaukee Parental Choice Program, which, although randomized, was relatively poorly implemented as an experiment..At

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Lennaert van Veen,Shigeo Kida,Genta Kawaharaotocol. The physical and biological information available to an investigator before an experiment is summarized in a prior probability density which we represent as a product of Dirichlet and log-normal probability densities. We derive the marginal probability density for the flow of blood to an org

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