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Statistical inference: Some theoretical methods and directions
Author(s) -
Fraser D. A. S.,
Reid N.
Publication year - 1990
Publication title -
environmetrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.68
H-Index - 58
eISSN - 1099-095X
pISSN - 1180-4009
DOI - 10.1002/env.3170010104
Subject(s) - inference , statistical inference , nuisance parameter , econometrics , frequentist inference , fiducial inference , computer science , statistics , mathematics , bayesian inference , artificial intelligence , bayesian probability , estimator
We examine four core methods and principles of statistical inference and discuss implications among them. This leads to the consideration of some recent methods of obtaining distributions for inference concerning an interest parameter, free of nuisance parameters. A concluding section discusses some current methods for approximating the needed distributions.