영문목차
Contents
Part I. Preliminaries: Introduction
Review of probability
Part II. Univariate statistics
Empirical distributions and exploratory data analysis
Parametric probability distributions
Frequentist statistical inference
Bayesian inference
Statistical forecasting
Forecast verification
Time series
Part III. Multivariate statistics
Matrix algebra and random matrices
The multivariate normal (MVN) distribution
Principal component (EOF) analysis
Canonical correlation analysis (CCA)
Discrimination and classification
Cluster analysis
Appendix A : Example data sets
Appendix B: Probability tables
Appendix C: Answers to exercises
References