نتایج جستجو برای: jeffreys

تعداد نتایج: 514  

2005
K Trimble J Clasper

Injury from anti-personnel mines remains a serious threat to military and civilian populations, even after conflict has ceased (Groom 1984; Jeffreys 1996). It was estimated that in 1996, there were approximately 100 million anti-personnel mines laid worldwide and many of these were, and still are, situated in unmarked mine fields. This article discusses the mechanism, medical management and out...

2001
Bertrand S. Clarke Andrew R. Barron

We provide a rigorous proof that Jeffreys’ prior asymptotically maximizes Shannon’s mutual information between a sample of size n and the parameter. This was conjectured by Bernard0 (1979) and, despite the absence of a proof, forms the basis of the reference prior method in Bayesian statistical analysis. Our proof rests on an examination of large sample decision theoretic properties associated ...

Journal: :international journal of industrial engineering and productional research- 0
fernando antonio moala [email protected]

the weibull distribution has been widely used in survival and engineering reliability analysis. in life testing experiments is fairly common practice to terminate the experiment before all the items have failed, that means the data are censored. thus, the main objective of this paper is to estimate the reliability function of the weibull distribution with uncensored and censored data by using b...

2005
Rui Paulo

Motivated by the statistical evaluation of complex computer models, we deal with the issue of objective prior specification for the parameters of Gaussian processes. In particular, we derive the Jeffreys-rule, independence Jeffreys and reference priors for this situation, and prove that the resulting posterior distributions are proper under a quite general set of conditions. Another prior speci...

2010
Larry Wasserman Bertrand CLARKE Larry WASSERMAN

JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact [email protected].. Taylor & Francis, Ltd. and American Statistical Associati...

Journal: :J. Classification 2007
Herbert K. H. Lee

Feedforward neural networks are a popular tool for classification, offering a method for fully flexible modeling. This paper looks at the underlying probability model, so as to understand statistically what is going on in order to facilitate an intelligent choice of prior for a fully Bayesian analysis. The parameters turn out to be difficult or impossible to interpret, and yet a coherent prior ...

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