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</script>The notion of confidence distribution (CD), an entirely frequentist concept, is in essence a Neymanian interpretation of Fisher's Fiducial distribution. It contains information related to every kind of frequentist inference. In this article, a CD is viewed as a distribution estimator of a parameter. This leads naturally to consideration of the information contained in CD, comparison of CDs and optimal CDs, and connection of the CD concept to the (profile) likelihood function. A formal development of a multiparameter CD is also presented.
Published at http://dx.doi.org/10.1214/074921707000000102 in the IMS Lecture Notes Monograph Series (http://www.imstat.org/publications/lecnotes.htm) by the Institute of Mathematical Statistics (http://www.imstat.org)
fiducial inference, confidence distribution, Mathematics - Statistics Theory, Statistics Theory (math.ST), data-depth, optimality, p-value functio, FOS: Mathematics, frequentist inference, 62G05, 62F03, 62F03, 62F12, 62G05 (Primary) 62G10, 62G20 (Secondary), likelihood function, bootstrap, 62F12, 62G20, 62G10
fiducial inference, confidence distribution, Mathematics - Statistics Theory, Statistics Theory (math.ST), data-depth, optimality, p-value functio, FOS: Mathematics, frequentist inference, 62G05, 62F03, 62F03, 62F12, 62G05 (Primary) 62G10, 62G20 (Secondary), likelihood function, bootstrap, 62F12, 62G20, 62G10
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