Titlebook: Statistical Decision Theory and Related Topics V; Shanti S. Gupta,James O. Berger Conference proceedings 1994 Springer Science+Business Me

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Eructation

Congestion

丰富

Libido

Estimating Lifetime Distribution Under Different Sampling Plansion is used to construct probability models for incomplete lifetime data. Nonparametric estimation of the lifetime distribution is discussed. Our formulation unifies many existing results in censoring, truncation, length bias and missing value problems.

Assemble

Estimating the Mixing Density of a Mixture of Power Series Distributions we consider the problem of estimating the mixing density of the mixture distribution. A mixing density kernel estimator is proposed which, under mild assumptions, has 1/log . as an upper bound for its rate of convergence to the true density under squared error loss. It is also shown that the optima

KEGEL

On Robust Estimation In Case-Control Studies with Errors in Covariatesis an unobserved continuous random variable, and instead a surrogate . is observed with nondifferential measurement error. The asymptotic theory of the estimates is derived, and consistent standard error estimates obtained. An illustrative example shows that the adverse effects of outliers upon stan

Incorporate

Applications and Limitations of Robust Bayesian Bounds and Type II MLE of an automatic Ockham’s Razor, outlier detection, and analysis of weighted distributions. Limitations of robust Bayesian bounds are highlighted through examples that include analysis of a paranormal experiment and a hierarchical model. This last example shows a disturbing difference between actual

antiandrogen

Using Historical Controls in Clinical Trials: Application to ECMOsider merging historical information with data from a clinical trial. The goal is to ascertain treatment effect in the patient population of the clinical trial. We develop a method that uses patient characteristics and partially discounts the historical data. The result is a probability distribution

certitude

A Geometric Solution of the Bayesian ,-Optimal Design Problement conditions are given such that the Bayesian .-optimal design and the classical .-optimal design (without the assumption of a prior distribution for the parameter vector) are supported at the same set of points or are identical. If the minimum eigenvalue of the classical .-optimal information mat