Use of the Gibbs Sampler to Obtain Conditional Tests, with Applications

A random sample is drawn from a distribution which admits a minimal sufficient statistic for the parameters. The Gibbs sampler is proposed to generate samples, called conditionally sufficient or co-sufficient samples, from the conditional distribution of the sample given its value of the sufficient...

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Veröffentlicht in:	Biometrika 2007-12, Vol.94 (4), p.992-998
Hauptverfasser:	Lockhart, Richard A., O'Reilly, Federico J., Stephens, Michael A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Actuarial science Applications Biology, psychology, social sciences Bootstrap method Comparative studies Distribution theory Empirical distribution function test Estimation methods Exact sciences and technology Gaussian distributions General topics Goodness-of-fit test Markov analysis Markov chains Mathematics Miscellanea Normal distribution P values Parametric bootstrap Probability and statistics Probability theory and stochastic processes Random sampling Rao–Blackwell Sampling distributions Sciences and techniques of general use Statistics Sufficiency and information Sufficient statistic
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