Journal of Statistical Theory and Applications

Volume 17, Issue 2, June 2018, Pages 193 - 205

On Evolution of Statistical Inference

Authors
DAS Fraser*, dfraser@utstat.toronto.edu
*D A S Fraser, Department of Statistical Sciences, University of Toronto

June 2, 2018

Received 11 February 2018, Accepted 1 March 2018, Available Online 30 June 2018.
DOI
10.2991/jsta.2018.17.2.1How to use a DOI?
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.

Copyright
Copyright © 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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Journal
Journal of Statistical Theory and Applications
Volume-Issue
17 - 2
Pages
193 - 205
Publication Date
2018/06/30
ISSN (Online)
2214-1766
ISSN (Print)
1538-7887
DOI
10.2991/jsta.2018.17.2.1How to use a DOI?
Copyright
Copyright © 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - DAS Fraser
PY  - 2018
DA  - 2018/06/30
TI  - On Evolution of Statistical Inference
JO  - Journal of Statistical Theory and Applications
SP  - 193
EP  - 205
VL  - 17
IS  - 2
SN  - 2214-1766
UR  - https://doi.org/10.2991/jsta.2018.17.2.1
DO  - 10.2991/jsta.2018.17.2.1
ID  - Fraser2018
ER  -