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Abstract:
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Ch. 1. Introduction -- Ch. 2. Review of Probability -- Ch. 3. Empirical Distributions and Exploratory Data Analysis -- Ch. 4. Parametric Probability Distributions -- Ch. 5. Hypothesis Testing -- Ch. 6. Statistical Forecasting -- Ch. 7. Forecast Verification -- Ch. 8. Time Series -- Ch. 9. Matrix Algebra and Random Matrices -- Ch. 10. The Multivariate Normal (MVN) Distribution -- Ch. 11. Principal Component (EOF) Analysis -- Ch. 12. Canonical Correlation Analysis (CCA) -- Ch. 13. Discrimination and Class
This revised and expanded text explains the latest statistical methods that are being used to describe, analyze, test and forecast atmospheric data. It features numerous worked examples, illustrations, equations, and exercises with separate solutions. Statistical Methods in the Atmospheric Sciences, Second Edition will help advanced students and professionals understand and communicate what their data sets have to say, and make sense of the scientific literature in meteorology, climatology, and related di
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