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The Philosophy and Practice of Resampling Statistics by Julian L. Simon Preview and Preface Introduction Part I: General Philosophy of Statistical Inference Chapter I-1 - The Role of Statistical Inference in Acquiring Knowledge Chapter I-2 - Statistical Inference and Random Sampling Chapter I-3 - Probability and Chance: Their Nature and Meaning Chapter I-4 - The Philosophical Dispute About the Concept of Probability Chapter I-5 - The Role of Judgment in Statistical Inference Chapter I-6 - The Relationship Between Probability Calculations and Statistical Inference Part II: The Practice of Statistics and Resampling Chapter II-1 - Translating Scientific Questions into Probabilistic and Statistical Questions Chapter II-2 - Testing Hypotheses Chapter II-3 - Confidence Intervals 1 Chapter II-4 - Confidence Intervals 2 Chapter II-5 - The Place and Role of Bayes' Rule and Bayesian Analysis Part III: The Natures of Simulation and Resampling Chapter III-1 - Introduction to the Resampling Method with Examples Chapter III-2 - Background and Analysis of the Resampling Method Chapter III-3 - Why the Formal Method is Usually Theoretically Inferior to Simulation and Resampling Chapter III-4 - What "Monty Hall" Teaches About the Theory of Resampling: Some Difficult Problems, and the Computation of Sample Spaces Chapter III-5 - Bayesian Analysis by Simulation Chapter III-6 - Experimentation, Sample Space Analysis, Simulation, and Formulaic Theory: Their Natures and Interrelationships Part IV: Special Theoretical Topics Chapter IV-1 - Introduction to the Resampling Method with Examples Chapter IV-2 - Background and Analysis of the Resampling Method Chapter IV-3 - Why the Formal Method is Usually Theoretically Inferior to Simulation and Resampling
by Julian L. Simon
Preview and Preface
Introduction
Part I: General Philosophy of Statistical Inference
Part II: The Practice of Statistics and Resampling
Part III: The Natures of Simulation and Resampling
Part IV: Special Theoretical Topics