Statistical Methods in the Atmospheric Sciences

Volume 100
3rd Auflage
ISBN: 978-0-12-385022-5
Verlag: Elsevier Science

Buch, Englisch, 704 Seiten, Format (B × H): 197 mm x 238 mm, Gewicht: 1557 g

Statistical Methods in the Atmospheric Sciences, Third Edition, explains the latest statistical methods used to describe, analyze, test, and forecast atmospheric data. This revised and expanded text is intended to help students understand and communicate what their data sets have to say, or to make sense of the scientific literature in meteorology, climatology, and related disciplines.

In this new edition, what was a single chapter on multivariate statistics has been expanded to a full six chapters on this important topic. Other chapters have also been revised and cover exploratory data analysis, probability distributions, hypothesis testing, statistical weather forecasting, forecast verification, and time series analysis. There is now an expanded treatment of resampling tests and key analysis techniques, an updated discussion on ensemble forecasting, and a detailed chapter on forecast verification. In addition, the book includes new sections on maximum likelihood and on statistical simulation and contains current references to original research. Students will benefit from pedagogical features including worked examples, end-of-chapter exercises with separate solutions, and numerous illustrations and equations.

This book will be of interest to researchers and students in the atmospheric sciences, including meteorology, climatology, and other geophysical disciplines.

Zielgruppe

Researchers and students in the atmospheric sciences, including meteorology, climatology, and other geophysical disciplines

Autoren/Hrsg.

Wilks, Daniel S

Fachgebiete

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

Inhaltsverzeichnis

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

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.