Daniel S Wilks

Statistical Methods in the Atmospheric Sciences

Volume 100

• Gebundenes Buch

Produktbeschreibung

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. The book 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 disciplines.

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Produktdetails

• Verlag: Elsevier Science
• 3rd edition
• Seitenzahl: 704
• Erscheinungstermin: 20. Mai 2011
• Englisch
• Abmessung: 238mm x 197mm x 43mm
• Gewicht: 1557g
• ISBN-13: 9780123850225
• ISBN-10: 0123850223
• Artikelnr.: 33236633

Autorenporträt

Daniel S. Wilks has been a member of the Atmospheric Sciences faculty at Cornell University since 1987, and is the author of Statistical Methods in the Atmospheric Sciences (2011, Academic Press), which is in its third edition and has been continuously in print since 1995. Research areas include statistical forecasting, forecast postprocessing, and forecast evaluation.

Inhaltsangabe

I Preliminaries1. Introduction2. Review of Probability
II Univariate Statistics3. Empirical Distributions and Exploratory Data
Analysis4. Parametric Probability Distributions5. Frequentist Statistical
Inference6. Bayesian Inference7. Statistical Forecasting8. Forecast
Verification9. Time Series
III Multivariate Statistic10. Matrix Algebra and Random Matrices11. The
Multivariate Normal (MVN) Distribution12. Principal Component (EOF)
Analysis13. Canonical Correlation Analysis (CCA)14. Discrimination and
Classification15. Cluster Analysis
AppendixA. Example Data SetsB. Probability TablesC. Answers to Exercises