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Statistical Methods in the Atmospheric Sciences, Volume 91, Second Edition (International Geophysics)
 
 
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Statistical Methods in the Atmospheric Sciences, Volume 91, Second Edition (International Geophysics) (Hardcover)

by Daniel S. Wilks (Author)
Key Phrases: climatological relative frequency, initial ensemble members, sample climatology, New York, United States, Ithaca January (more...)
4.2 out of 5 stars See all reviews (4 customer reviews)

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Editorial Reviews

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

Book Description
Expanded coverage and key updates help readers describe, analyze, test, and forecast atmospheric data

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4 Reviews
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4.2 out of 5 stars (4 customer reviews)
 
 
 
 
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7 of 7 people found the following review helpful:
5.0 out of 5 stars A Godsend for Working Scientists, September 29, 2007
By David W. Fanning (Fort Collins, CO USA) - See all my reviews
(REAL NAME)   
I judge the usefulness of a book by how quickly I can learn something new and apply it to the problem I am currently working on. Most statistics books, judged by this criteria, fail miserably. But here is a book that not only succeeds, but succeeds so well I actually find myself getting excited about reading the next chapter, which has nothing to do with the problem at hand! By confining himself to just a handful of simple data sets, Wilks makes it possible to work though the examples in detail and in a variety of ways. But the most important benefit to me is that I can immediately turn his examples into software code (I use IDL), which I can use to solve my problem. Unlike so many books, which provide the broad theoretical strokes, but leave the details in shadow, Wilks explains the details in simple, straightforward language. His explanation of harmonic analysis and FFT spectral analysis was so crystal clear I believe it was the first time I thought I truly understood this important concept. I can imagine there will be statisticians who will not like this book. But for those of us working with environmental data who need to know some statistics to get our work done, this book is a godsend.
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4 of 4 people found the following review helpful:
5.0 out of 5 stars Very useful text and reference, March 9, 2006
By Mark (Australia) - See all my reviews
Like the first edition, this book is an excellent and thorough overview of statistical methods used in the atmospheric sciences.
The main updates which are included in the second edition are the six final chapters (chapters 9-14) which cover multi-variate statistical methods as an expansion of that covered in one chapter of the first edition.
An excellent reference text for many geophysical researchers.
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5.0 out of 5 stars Well written text. Easy to understand., July 21, 2008
I highly recommend this book for those interested in atmospheric science statistical methods. Three cheers and five stars for this great book.
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2.0 out of 5 stars Poor flow and presentation
This book is surely one of the worst statistical books in my library. If anyone is in need of a reference for some of the statistical methods commonly used in atmospheric... Read more
Published on May 12, 2007 by Strongdog

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