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Journal of Statistical Theory and Applications (JSTA)
Article . 2018 . Peer-reviewed
Data sources: Crossref
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DBLP
Article . 2018
Data sources: DBLP
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On Evolution of Statistical Inference

Authors: DAS Fraser;

On Evolution of Statistical Inference

Abstract

The foundations of statistics have evolved over many centuries, perhaps millennia, with major paradigm shifts of the form described in Kuhn (1962). We briefly consider these important transitions and how they have led to major shifts in the foundations of statistical inference. Clearly there is no conventional mathematical or axiomatic basis. But there is a progressive clarification in the processes of statistical inference so that current theory can now coherently and definitively handle a wide range of inference problems.

Keywords

Probabilities. Mathematical statistics, QA273-280

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold