Statistical Methods in the Atmospheric Sciences, Fourth Edition has always strived, and succeeded, to meet the needs of students and instructors, in addition to supporting researchers and operational practitioners as a comprehensive, but still usable, reference. This newly revised fourth edition continues in that tradition. Updates, new topics and expanded sections build upon the strengths of the prior edition, while providing new content where there have been advances in the field, including Bayesian analysis, forecast verification and a new chapter dedicated to ensemble forecasting. Provides a strong yet concise introduction to applied statistics, specific to atmospheric scienceRevised and expanded sections on nonparametric tests, test multiplicity, and quality uncertainty descriptorsNew sections on ANOVA, quantile regression, the lasso and other regularization methods, regression trees, changepoint detection, ensemble forecasting, and exponential smoothing INDICE: 1. Introduction 2. Review of Probability 3. Empirical Distributions and Exploratory Data Analysis 4. Parametric Probability Distributions 5. Frequentist Statistical Inference 6. Bayesian Inference 7. Statistical Forecasting 8. Ensemble Forecasting 9. Forecast Verification 10. Time Series 11. Matrix Algebra and Random Matrices 12. Multivariate Normal Distribution 13. Principal Component (EOF) Analysis 14. Linear multivariate analysis of vector pairs: CCA, MCA, and RA 15. Discrimination and Classification 16. Cluster Analysis
- ISBN: 978-0-12-815823-4
- Editorial: Elsevier
- Encuadernacion: Rústica
- Páginas: 850
- Fecha Publicación: 01/09/2019
- Nº Volúmenes: 1
- Idioma: Inglés