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Bayes Factors
Source:
Informa UK Limited
What does the proof of Birnbaum’s theorem prove?
Source:
The Institute of Mathematical Statistics and the Bernoulli Society
On the Foundations of Statistical Inference
Source:
Informa UK Limited
Adaptative significance levels using optimal decision rules: Balancing by weighting the error probabilities
Source:
Institute of Mathematical Statistics
Pardon E. Tillinghast. The Specious Past: Historians and Others. (Addison-Wesley Series in History.) Reading, Mass.: Addison-Wesley Publishing Company. 1972. Pp. vii, 198. $2.75
Source:
Oxford University Press (OUP)
Inference for a Bernoulli Process (a Bayesian View)
Source:
Informa UK Limited
Redefine statistical significance
Source:
Springer Science and Business Media LLC
A New Proof of the Likelihood Principle
Source:
University of Chicago Press
Bayes Factors
Source:
Informa UK Limited
Inference for a Bernoulli Process (a Bayesian View)
Source:
Informa UK Limited
A comment on D. V. Lindley's statistical paradox
Source:
Oxford University Press (OUP)
On the Birnbaum Argument for the Strong Likelihood Principle
Source:
The Institute of Mathematical Statistics
Avoiding Model Selection in Bayesian Social Research
Source:
JSTOR
Sequential Trials, Sequential Analysis and the Likelihood Principle
Source:
Informa UK Limited
Some Tests of Significance, Treated by the Theory of Probability
Source:
Cambridge University Press (CUP)
Moving to a World Beyond “p < 0.05”
Source:
Informa UK Limited
Bayes Factors
Source:
Informa UK Limited
Sequential Trials, Sequential Analysis and the Likelihood Principle
Source:
Informa UK Limited
Testing Precise Hypotheses
Source:
The Institute of Mathematical Statistics
Blending Bayesian and Classical Tools to Define Optimal Sample-Size-Dependent Significance Levels
Source:
Taylor & Francis
Analyzing data: Sanctification or detective work?
Source:
American Psychological Association (APA)
MENDELIAN PROPORTIONS IN A MIXED POPULATION.
Source:
American Association for the Advancement of Science (AAAS)
On the problems of the most efficient tests of statistical hypotheses.
Source:
The Royal Society
Bayes Factors
Source:
Informa UK Limited
A comment on D. V. Lindley's statistical paradox
Source:
Oxford University Press (OUP)
Bayes Factors
Source:
Informa UK Limited
On the problems of the most efficient tests of statistical hypotheses.
Source:
The Royal Society
The earth is round (p < .05)
Source:
American Psychological Association (APA)
The ASA's Statement on p-Values: Context, Process, and Purpose
Source:
Informa UK Limited
Editorial
Source:
Informa UK Limited
A Critical Assessment of Null Hypothesis Significance Testing in Quantitative Communication Research
Source:
Oxford University Press (OUP)
A STATISTICAL PARADOX
Source:
JSTOR
A STATISTICAL PARADOX
Source:
JSTOR
Blending Bayesian and Classical Tools to Define Optimal Sample-Size-Dependent Significance Levels
Source:
Taylor & Francis
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