Statistical Methods in the Atmospheric Sciences
(Sprache: Englisch)
This revised and expanded text explains the latest statistical methods that are being used to describe, analyze, test, and forecast atmospheric data. It features numerous worked examples, illustrations, equations, and exercises with separate solutions. The...
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Klappentext zu „Statistical Methods in the Atmospheric Sciences “
This revised and expanded text explains the latest statistical methods that are being used to describe, analyze, test, and forecast atmospheric data. It features numerous worked examples, illustrations, equations, and exercises with separate solutions. The book will help advanced students and professionals understand and communicate what their data sets have to say, and make sense of the scientific literature in meteorology, climatology, and related disciplines.Bibliographische Angaben
- Autor: Daniel S. Wilks
- 2011, 676 Seiten, mit zahlreichen Abbildungen, Maße: 19,7 x 23,8 cm, Gebunden, Englisch
- Verlag: ACADEMIC PR INC
- ISBN-10: 0123850223
- ISBN-13: 9780123850225
Sprache:
Englisch
Rezension zu „Statistical Methods in the Atmospheric Sciences “
"I would strongly recommend this book... To those who already posses the first edition and are satisfied users, you would be hard-pressed to do without the second edition."--Bulletin of the American Meteorological Society "What makes this book specific to meterology, and not just to applied statistics, are it's extensive examples and two chapters on statistcal forecasting and forecast evaluation."--William (Matt) Briggs, Weill Medical College of Cornell University "Wilks (earth and atmospheric sciences, Cornell U.) presents a textbook for an upper-division undergraduate or beginning graduate course for students who have completed a first course in statistics and are interested in learning further statistics in the context of atmospheric sciences. No mathematics beyond first-year calculus is required, nor any background in atmospheric science, though some would be helpful. He also has in mind researchers using the book as a reference. No dates are cited for previous editions, this one adds a chapter on Bayesian inference, updates the treatment throughout, and includes new references to recently published literature."--SciTech Book News
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