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- W2019752194 abstract "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 statistic. The procedure is illustrated for the gamma distribution. Co-sufficient samples may be used to give exact tests of fit; for the gamma distribution these are compared for size and power with approximate tests based on the parametric bootstrap." @default.
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- W2019752194 title "Use of the Gibbs Sampler to Obtain Conditional Tests, with Applications" @default.
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- W2019752194 doi "https://doi.org/10.1093/biomet/asm065" @default.
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