2011AIP conference proceedingsRequires access

Confidence distributions in statistical inference

Sergey Bityukov, Nikolai Krasnikov, Saralees Nadarajah, Vera Smirnova, Ali Mohammad-Djafari, Jean‐François Bercher, Pierre Bessìère

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Abstract

This paper reviews the new methodology for statistical inferences. Point estimators, confidence intervals and p—values are fundamental tools for frequentist statisticians. Confidence distributions, which can be viewed as “distribution estimators”, are often convenient for constructing all of the above statistical procedures and more.

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What this paper is about

This paper reviews the new methodology for statistical inferences. Point estimators, confidence intervals and p—values are fundamental tools for frequentist statisticians. Confidence distributions, which can be viewed as “distribution estimators”, are often convenient for constructing all of the above statistical procedures and more.

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OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper reviews the new methodology for statistical inferences. Point estimators, confidence intervals and p—values are fundamental tools for frequentist statisticians. Confidence distributions, which can be viewed as “distribution estimators”, are often convenient for constructing all of the above statistical procedures and more.

Key concepts: Frequentist inference, Estimator, Statistical inference, Confidence distribution, Confidence interval, Fiducial inference, Point estimation, Computer science

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