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A Note on Bayesian, Likelihood, and Sampling Distribution Inferences

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  • Donald B. Rubin

Abstract

A simple example is presented that illustrates advantages of Bayesian and likelihood methods of inference relative to sampling distribution methods of inference. It is argued that Bayesian and likelihood methods of inference should be utilized more generally to analyze real data. Sampling distributions should be used to evaluate the long term performance of procedures.

Suggested Citation

  • Donald B. Rubin, 1978. "A Note on Bayesian, Likelihood, and Sampling Distribution Inferences," Journal of Educational and Behavioral Statistics, , vol. 3(2), pages 189-201, June.
    • Handle: RePEc:sae:jedbes:v:3:y:1978:i:2:p:189-201
    DOI: 10.3102/10769986003002189
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    Cited by:

    1. Fabrizia Mealli & Donald B. Rubin, 2015. "Clarifying missing at random and related definitions, and implications when coupled with exchangeability," Biometrika, Biometrika Trust, vol. 102(4), pages 995-1000.

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