Statistical Methods in the Atmospheric Sciences, 2/e

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.

 

 

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第一版的讚譽:
「我毫不猶豫地推薦這本書,無論是作為參考書還是課程教材...Wilks的優秀著作為大氣科學應用統計方法提供了徹底的基礎。」- BAMS(美國氣象學會公報)

基本上,統計學關注的是在不確定性面前管理數據、進行推斷和預測。因此,統計方法在大氣科學中扮演著重要角色並不令人意外。正是大氣行為的不確定性推動著研究的進展,並推動大氣模型和預測的創新。

這本修訂和擴充的教材解釋了最新的統計方法,這些方法被用於描述、分析、測試和預測大氣數據。它包含了大量的實例、插圖、方程式和練習題,並提供了單獨的解答。第二版的《大氣科學中的統計方法》將幫助高級學生和專業人士理解和傳達他們的數據集所表達的意思,並理解氣象學、氣候學和相關學科的科學文獻。