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
-
- 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
- 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
This page is maintained by Matthew Munsey.
Questions, comments, and/or suggestions should be directed to mmunsey@mit.edu.