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Design of experiments / Probability interpretations / Psychometrics / Statistical hypothesis testing / P-value / Statistical significance / Null hypothesis / Statistical power / Confidence interval / Statistics / Hypothesis testing / Statistical inference


Could Fisher, Jeffreys and Neyman Have Agreed on Testing? Author(s): James O. Berger Source: Statistical Science, Vol. 18, No. 1 (Feb., 2003), ppPublished by: Institute of Mathematical Statistics Stable URL: http:
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Document Date: 2011-03-10 19:41:00

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Company

Pearson / Brown / Cox / Henkel / Jeffreys / Neyman Have Agreed / Could Fisher / Neyman / /

Currency

pence / /

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Event

Business Partnership / /

Facility

Duke University / Institute of Statistics / Institute of Mathematical Statistics / /

IndustryTerm

obvious solution / nonstatisticians with testing tools / /

Organization

JSTOR / Institute of Mathematical Statistics / Duke University / Durham / Institute of Statistics and Decision Sciences / /

Person

James O. Berger / Ronald Fisher / /

Position

Author / Professor of Statistics / Major / Fisher / /

Technology

simulation / /

URL

http /

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