by Julian L. Simon
Second Edition published October 1997

Table of Contents

Preface-A Look Back and A Look Ahead
Introduction-Uses Of Probability and Statistics
Afternote 1
Afternote 2
Chap 1-The Resampling Method of Solving Problems
Chap 2-Basic Concepts in Probability and Statistics
Chap 3-Basic Concepts in Probability and Statistics
Chap 4-Probability Theory
Chap 5-Probability Theory continued
Chap 6-Probability Theory Part 2, Compound Probability
Chap 7-Probability Theory, Part 3
Chap 8-Probability Theory, Part 4, Estimating Probabilities from Finite Universes:
Chap 9-On Variability in Sampling
Chap 10-The Procedures of Monte Carlo Simulation (and Resampling)
Chap 11-The Basic Ideas in Statistical Inference
Chap 12-Introduction to Statistical Inference
Chap 13-Point Estimation
Chap 14-Framing Statistical Questions
Chap 15-Hypothesis-Testing with Counted Data, Part 1
Chap 16-The Concept of Statistical Significance in Testing Hypotheses
Chap 17-The Statistics of Hypothesis-Testing With Counted Data, Part 2
Chap 18-The Statistics of Hypothesis-Testing With Measured Data
Chap 19-General Procedures for Testing Hypotheses
Chap 20-Confidence Intervals, Part 1, Assessing the Accuracy of Samples
Chap 21-Confidence Intervals, Part 2, The Two Approaches to Estimating Confidence Intervals
Chap 22-And Some Last Words About the Reliability of Sample Averages
Chap 23-Correlation and Causation
Chap 24-How Big a Sample
Chap 25-Bayesian Analysis by Simulation
Exercise Solutions
Acknowledgements
References
Tech Note

   

  

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