The Philosophy and Practice of Resampling Statistics

Julian L. Simon (see also vita, bio, and writings)
College of Business and Management, University of Maryland, College Park
*Preview and Preface
*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
What Does the Normal Curve "Mean"?
*Chapter IV-2
The Statistical Concept of Causality
*Chapter IV-3
Mathematics and Statisticians
*Chapter IV-4
The Order of Use of Various Types of Statistics

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