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Model Specification: The Views of Fisher and Neyman, and Later Developments

https://doi.org/10.1214/ss/1177012164
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Model, Choice of
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Adding Variables
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Introduction
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Statistical Inferences with Model Selection Criteria
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Models and Methods
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Statistical Inference: Overview
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Foundational Issues in Statistics: Theory and Practice
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Statistical Inference as Severe Testing
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Preface
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Beyond Probabilism and Performance
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Error Probing Tools versus Logics of Evidence
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Induction and Confirmation
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Falsification, Pseudoscience, Induction
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Ingenious and Severe Tests
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It’s The Methods, Stupid
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Capability and Severity: Deeper Concepts
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The Myth of “The Myth of Objectivity”
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Rejection Fallacies: Who’s Exaggerating What?
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Auditing: Biasing Selection Effects and Randomization
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More Auditing: Objectivity and Model Checking
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Power: Pre-data and Post-data
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How Not to Corrupt Power
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Deconstructing the N-P versus Fisher Debates
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What Ever Happened to Bayesian Foundations?
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Pragmatic and Error Statistical Bayesians
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Souvenirs
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Index
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Karl Pearson and R. A. Fisher on Statistical Tests: A 1935 Exchange from Nature
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The Zeroth Problem
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Copyright Page
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Dedication
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PREFACE
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PHILOSOPHICAL BACKGROUND
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STATISTICAL INDUCTION—WHEN AND HOW?
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NEW CONCEPTS AND METHODS—PRE-BAYESIAN ERA
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