The Fisher, Neyman-Pearson theories of testing hypotheses

Lehmann, E. L. (1993). The Fisher, Neyman-Pearson theories of testing hypotheses: One theory or two. Journal of the American Statistical Association, 88(424), 1242-1249.

Type

Journal article

Intellectual base

Primary research

Year

1993

Link

no authoritative link yet

Cited from

statistics_experimental_design

Cited by

3 citations across 3 artifacts.

Primes

• Statistical Power
  • Listed in the references but not attached to a specific claim.
• Statistical Significance (p-Value)
  • The contemporary notion combines Fisher's continuous-evidence interpretation with Neyman-Pearson's dichotomous-decision framework into a hybrid that has been the subject of extensive methodological debate for nearly a century
• Type I & Type II Errors
  • Fisher's significance testing framework focused on evidence-against-null (p-values) and was critical of the Neyman-Pearson decision-theoretic formulation; the hybrid NHST tradition uses α controls while often ignoring β

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