On Some Principles of Statistical Inference. (3rd October 2014)

• Record Type: Journal Article
• Authors: Reid, Nancy; Cox, David R.
• Is Part Of: International statistical review. Volume 83:Number 2(2015:Aug.)
• Page Start: 293
• Page End: 308
• Publication Date: 2014-10-03
• Subjects: Statistics -- Periodicals; Statistics -- Bibliography -- Periodicals; Statistics -- Bibliography; Statistics -- Periodicals; Statistique; Statistique -- Périodiques; Statistique -- Bibliographie -- Périodiques; Statistique -- Étude et enseignement -- Périodiques; Statistique -- Étude et enseignement -- Bibliographie -- Périodiques; Ressource Internet (Descripteur de forme); Périodique électronique (Descripteur de forme); 519.2
• DOI: 10.1111/insr.12067
• Languages: English
• ISSNs: 0306-7734

Abstract

<abstract abstract-type="main" id="insr12067-abs-0001"> <title>Summary</title> <p id="insr12067-para-0001">Statistical theory aims to provide a foundation for studying the collection and interpretation of data, a foundation that does not depend on the particular details of the substantive field in which the data are being considered. This gives a systematic way to approach new problems, and a common language for summarising results; ideally, the foundations and common language ensure that statistical aspects of one study, or of several studies on closely related phenomena, can be broadly accessible. We discuss some principles of statistical inference, to outline how these are, or could be, used to inform the interpretation of results, and to provide a greater degree of coherence for the foundations of statistics.</p> </abstract>