
- 840 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Statistical Methods in the Atmospheric Sciences
About this book
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.- 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
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Information
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Preface to the Fourth Edition
- Preface to the Third Edition
- Preface to the Second Edition
- Preface to the First Edition
- Part I: Preliminaries
- Part II: Univariate Statistics
- Part III: Multivariate Statistics
- Appendix A: Example Data Sets
- Appendix B: Probability Tables
- Appendix C: Symbols and Acronyms
- Appendix D: Answers to Exercises
- References
- Index