Confidence distributions in statistical inference
Sergey Bityukov, Nikolai Krasnikov, Saralees Nadarajah, Vera Smirnova, Ali Mohammad-Djafari, Jean‐François Bercher, Pierre Bessìère
Abstract
Sergey Bityukov, Nikolai Krasnikov, Saralees Nadarajah, Vera Smirnova, Ali Mohammad-Djafari, Jean‐François Bercher, Pierre Bessìère
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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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