Second Edition. Coell University, Elsevier, Amsterdam, Boston,
London, 2006, 649 pp. - ISBN 10 - 0-12-751966-1.
Contents.
Preface.
Introduction.
Review of Probability.
Empirical Distributions and Exploratory Data Analysis.
Parametric Probability Distributions.
Hypothesis Testing.
Statistical Forecasting.
Forecast Verification.
Time Series.
Matrix Algebra and Random Matrices.
The Multivariate Normal (MVN) Distribution.
Principal Component (EOF) Analysis.
Canonical Correlation Analysis (CCA).
Discrimination and Classification.
Cluster Analysis.
Appendices. References. Index.
Contents.
Preface.
Introduction.
Review of Probability.
Empirical Distributions and Exploratory Data Analysis.
Parametric Probability Distributions.
Hypothesis Testing.
Statistical Forecasting.
Forecast Verification.
Time Series.
Matrix Algebra and Random Matrices.
The Multivariate Normal (MVN) Distribution.
Principal Component (EOF) Analysis.
Canonical Correlation Analysis (CCA).
Discrimination and Classification.
Cluster Analysis.
Appendices. References. Index.