Statistical Methods in the Atmospheric Sciences

4. Auflage 2019
ISBN: 978-0-12-815823-4
Verlag: William Andrew Publishing

Buch, Englisch, 840 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 1720 g

Statistical Methods in the Atmospheric Sciences, Fourth Edition, continues the tradition of trying to meet the needs of students, researchers and operational practitioners. This updated edition not only includes expanded sections built upon the strengths of the prior edition, but also provides new content where there have been advances in the field, including Bayesian analysis, forecast verification and a new chapter dedicated to ensemble forecasting.

Zielgruppe

<p>Researchers and students in the atmospheric sciences, including meteorology, climatology, and other allied disciplines involving atmospheric data</p>

Autoren/Hrsg.

Wilks, Daniel S.

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Naturwissenschaften Physik Angewandte Physik Umweltphysik
• Geowissenschaften Geologie Meteorologie, Klimatologie
• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Luftreinhaltung

Inhaltsverzeichnis

1. Introduction2. Review of Probability3. Empirical Distributions and Exploratory Data Analysis4. Parametric Probability Distributions5. Frequentist Statistical Inference6. Bayesian Inference7. Statistical Forecasting8. Ensemble Forecasting9. Forecast Verification10. Time Series11. Matrix Algebra and Random Matrices12. Multivariate Normal Distribution13. Principal Component (EOF) Analysis14. Linear multivariate analysis of vector pairs: CCA, MCA, and RA15. Discrimination and Classification16. Cluster Analysis

Über Autor(innen)

Wilks, Daniel S.
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.