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Introduction
Exploring Data
Probability and Random Variables
Random Vectors
Important Probability Distributions
Sequences of Random Variables
Estimation and Uncertainty
Estimation in Theory and Practice
Uncertainty and the Bootstrap
Statistical Significance
General Methods for Testing Hypotheses
Linear Regression
Analysis of Variance
Generalized Regression
Nonparametric Regression
Bayesian Methods
Multivariate Analysis
Time Series
Point Processes
Appendix: Mathematical Background
Example Index
Index
Bibliography.

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