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Книга Statistical Methods in the Atmospheric Sciences Daniel Wilks

Statistical Methods in the Atmospheric Sciences

Автор: Daniel Wilks
Език: Английски език
Корици: С твърди корици
Издател: Elsevier Books
Наличност: Налично при издателя, по поръчка
Изпращаме след 28-34 дни
105.45 € 206.25 лв
Praise for the First Edition: "I recommend this book, without hesitation, as either a reference or c...

Информация за книгата

Автор
Daniel Wilks
Език
Английски език
Корици
Книга - С твърди корици
Издадена
2011
страници
704
EAN
9780123850225
ISBN
0123850223
Enbook ID
04378050
Издател
Elsevier Books
Теглоt
1520
Размери
191 x 241 x 33

Пълно описание

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. It offers accessible presentation and explanation of techniques for atmospheric data summarization, analysis, testing and forecasting. Many worked examples, and end-of-chapter exercises, with answers are provided.

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