Paradigms for Statistical Inference
نویسنده
چکیده
This paper expresses the different theories of statistical inference in terms of the competition between scientific paradigms as described in Kuhn (1996). The conflict among the major schools is examined in Kuhn’s terms, with extensive quotes, which helps to illuminate the discussion. Critical issues among the schools are evaluated with canonical examples. The scientific and social implications of conflicting conclusions from the same data by different schools are considered, and proposals are made for extending the current Bayesian paradigm, through both reformulating model comparisons, and incorporating sample survey analysis.
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تاریخ انتشار 2011