Timothy DelSole (Virginia George Mason University), Michael Tippett (New York Columbia University)

Statistical Methods for Climate Scientists

• Gebundenes Buch

Produktbeschreibung

An introduction to the most commonly used statistical methods in atmospheric, oceanic and climate sciences. Each method is described step-by-step using plain language, with statistical and scientific concepts explained as needed. Requiring no previous background in statistics, it is an accessible reference for students in the climate sciences.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 544
• Erscheinungstermin: 24. Februar 2022
• Englisch
• Abmessung: 250mm x 175mm x 34mm
• Gewicht: 1084g
• ISBN-13: 9781108472418
• ISBN-10: 1108472419
• Artikelnr.: 62258325

Autorenporträt

Timothy M. DelSole is Professor in the Department of Atmospheric, Oceanic, and Earth Sciences, and Senior Scientist at the Center for Oceanic Atmospheric, and Land Studies, at George Mason University, Virginia. He has published over one hundred peer-reviewed papers in climate science and served as co-Editor-in-Chief of the Journal of Climate.

Inhaltsangabe

1. Basic Concepts in Probability and Statistics
2. Hypothesis Tests
3. Confidence Intervals
4. Statistical Tests Based on Ranks
5. Introduction to Stochastic Processes
6. The Power Spectrum
7. Introduction to Multivariate Methods
8. Linear Regression: Least Squares Estimation
9. Linear Regression: Inference
10. Model Selection
11. Screening: A Pitfall in Statistics
12. Principal Component Analysis
13. Field Significance
14. Multivariate Linear Regression
15. Canonical Correlation Analysis
16. Covariance Discriminant Analysis
17. Analysis of Variance and Predictability
18. Predictable Component Analysis
19. Extreme Value Theory
20. Data Assimilation
21. Ensemble Square Root Filters
22. Appendix
References
Index.