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Titlebook: Case Studies in Bayesian Statistics; Volume III Constantine Gatsonis,James S. Hodges,Nozer D. Sing Conference proceedings 1997 Springer-Ver

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Rationality of Moral Judgments,s and between-hospital variability of practice patterns, we fit a Hierarchical Logistic Regression Model to the mortality data. We also employed multiple imputation methods to impute anomalous and missing values under the assumption that the complete multivariate data follow a General Location Model
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Plant Nutrients in Organic Farming,e distribution and because our evaluation of the .-value does not rely on any discrepancy measures, it is straightforward in our case. Regarding the assumption about a genetic parameter representing intensity of mortality of deleterious genes, our results indicate a better fit of a mildly-deleteriou
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Modeling Mortality Rates for Elderly Heart Attack Patients: Profiling Hospitals in the Cooperative Cs and between-hospital variability of practice patterns, we fit a Hierarchical Logistic Regression Model to the mortality data. We also employed multiple imputation methods to impute anomalous and missing values under the assumption that the complete multivariate data follow a General Location Model
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Bayesian Inference for the Best Ordinal Multinomial Population in a Taste Test. = 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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