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Likelihood principle
The Likelihood Principle
Statistical Theory
On the Relation Between Frequency Inference and Likelihood
1 the Likelihood Principle
Model Selection by Normalized Maximum Likelihood
P Values, Hypothesis Testing, and Model Selection: It’S De´Ja` Vu All Over Again1
1 Likelihood 2 Maximum Likelihood Estimators 3 Properties of the Maximum Likelihood Estimators
CHAPTER 2 Estimating Probabilities
The Likelihood Function
Likelihood Principle
P-Values and the Likelihood Principle
Likelihood: Philosophical Foundations
Maximum Likelihood Estimation
On the Evidential Nature of P-Values and Their Place in Scientific
An Improved Approximation to the Poisson-Likelihood Chi-Square
Frequentist Statistics: a Concise Introduction
Practical Statistics for Particle Physics
Decision Theory
Top View
Hypothesis Tests for Bernoulli Experiments: Ordering the Sample Space by Bayes Factors and Using Adaptive Significance Levels for Decisions
How Likelihood and Identification Went Bayesian
On the Birnbaum Argument for the Strong Likelihood Principle 3
The Likelihood Principle Author(S): James O
Could Fisher, Jeffreys and Neyman Have Agreed on Testing? James 0.Berger
Statistical Decisions Using Likelihood Information Without Prior Probabilities
A Theoretical Model of Conformational
Lecture Notes on Likelihood Function
The Likelihood Principle (Second Edition)
Information Theory and an Extension of the Maximum Likelihood Principle 201
Tsalis Christos Phd.Pdf
Topic 15: Maximum Likelihood Estimation∗
Chapter 6 Likelihood Inference
Power Analysis for Contingency Tables
A Note on the Connection Between Likelihood Inference, Bayes Factors, and P-Values
Chapter 2: Maximum Likelihood Estimation Advanced Econometrics - HEC Lausanne