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Introduction to resampling
In the previous two chapters we have seen many examples of statistical parameters and their estimates. In general suppose there is a parameter of... -
An urn-based Bayesian block bootstrap
Block bootstrap has been introduced in the literature for resampling dependent data, i.e. stationary processes. One of the main assumptions in block...
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On Success Runs of Length Exceeded a Threshold
Consider a sequence of n two state (success-failure) trials with outcomes arranged on a line or on a circle. The elements of the sequence are...
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Some extensions and applications of Kriz's (1972) urn model
A summary of Kriz's (1972) paper concerning an urn model for the PMP distribution is given. Extensions of the model are made, considering cases in...
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Expressing imprecision in probabilistic knowledge
The representation of imprecise knowledge in probabilistic expert systems is investigated. It is argued that Bayesian statistics offers a multitude...
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Errors in Simple and Monotone Tasks: A Proposal of Testing on Site
Several examples were presented in which errors observed with a homogeneous group of individuals in tasks consisting of a large number of simple...