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Statistical Methods in the Atmospheric Sciences, Volume 100, Third Edition (International Geophysics), by Daniel S. Wilks
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Praise for the First Edition:
"I recommend this book, without hesitation, as either a reference or course text...Wilks' excellent book provides a thorough base in applied statistical methods for atmospheric sciences."--BAMS (Bulletin of the American Meteorological Society)
Fundamentally, statistics is concerned with managing data and making inferences and forecasts in the face of uncertainty. It should not be surprising, therefore, that statistical methods have a key role to play in the atmospheric sciences. It is the uncertainty in atmospheric behavior that continues to move research forward and drive innovations in atmospheric modeling and prediction.
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. Statistical Methods in the Atmospheric Sciences, Second Edition 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.
- Accessible presentation and explanation of techniques for atmospheric data summarization, analysis, testing and forecasting
- Many worked examples
- End-of-chapter exercises, with answers provided
- Sales Rank: #213427 in Books
- Published on: 2011-06-03
- Original language: English
- Number of items: 1
- Dimensions: 9.00" h x 6.00" w x 1.25" l, 3.08 pounds
- Binding: Hardcover
- 704 pages
Review
"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
About the Author
Has been a member of the Atmospheric Sciences faculty at Cornell University since 1987, and is the author of Statistical Methods in the Atmospheric Sciences (2011, Academic Press), which is in its third edition and has been continuously in print since 1995. Research areas include statistical forecasting, forecast postprocessing, and forecast evaluation.
Most helpful customer reviews
15 of 16 people found the following review helpful.
A high-quality textbook
By Dimitri Shvorob
I saw the book out of cross-discipline curiosity: my statistical background is of econometrics variety, and I was wondering what sort of statistics meteorologists do. In the event, this was not a right choice: the book is an introduction to statistical methods, and at this level, things do not get too specialized. All the same, I quite liked the book as a nicely written and very substantial statistics textbook - the chapters on frequency-domain analysis and PCA, CCA, etc. are some of the highlights - so enthusiastic kudos to the author.
8 of 8 people found the following review helpful.
Dr. Thomas M. Hamill
By Thomas Hamill
This book is THE reference for the intersection of statistics and meteorology. Each edition improves and expounds upon the last. As a researcher who does a lot of work in weather forecast verification, this book gets pulled from my shelf more than any other. Dan's writing style is compact; it's got most everything you need, little you don't. It's a suitable reference for an undergrad or graduate course in statistical meteorology, but it's also highly recommended to most any researcher in atmospheric science as a handy reference.
1 of 1 people found the following review helpful.
I love it very much
By Congwen Zhu
Some of recent progress of statistical methods in the atmosphere sciences have been covered in contrast to the second edition, I love it very much !
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