Statistical Methods in the Atmospheric Sciences
- 4th Edition - June 9, 2019
- Author: Daniel S. Wilks
- Language: English
Statistical Methods in the Atmospheric Sciences, Fourth Edition, continues the tradition of trying to meet the needs of students, researchers and operational practitio… Read more
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Description
Description
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.
Key features
Key features
- Provides a strong, yet concise, introduction to applied statistics that is specific to atmospheric science
- Contains revised and expanded sections on nonparametric tests, test multiplicity and quality uncertainty descriptors
- Includes new sections on ANOVA, quantile regression, the lasso and other regularization methods, regression trees, changepoint detection, ensemble forecasting and exponential smoothing
Readership
Readership
Researchers and students in the atmospheric sciences, including meteorology, climatology, and other allied disciplines involving atmospheric data
Table of contents
Table of contents
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
Product details
Product details
- Edition: 4
- Published: June 11, 2019
- Language: English
About the author
About the author
DW
Daniel S. Wilks
Daniel S. Wilks is a Professor Emeritus at Cornell University and has been a Member of the Atmospheric Sciences faculty since 1987. His research focuses on the application of statistical methods for the quantification and analysis of uncertainty in meteorological and climatological data and forecasts. Dr. Wilks has taught courses on statistics in the atmospheric sciences and has been an Author or Coauthor of more than 100 peer-reviewed research articles.