Statistical methods in the atmospheric sciences : an introduction /

This book introduces and explains the statistical methods used to describe, analyze, test, and forecast atmospheric data. It will be useful to students, scientists, and other professionals who seek to make sense of the scientific literature in meteorology, climatology, or other geophysical disciplin...

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Bibliographic Details
Main Author: Wilks, Daniel S.
Corporate Author: ScienceDirect (Online service)
Format: eBook
Language:English
Published: San Diego : Academic Press, ©1995.
Series:International geophysics series ; v. 59.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:This book introduces and explains the statistical methods used to describe, analyze, test, and forecast atmospheric data. It will be useful to students, scientists, and other professionals who seek to make sense of the scientific literature in meteorology, climatology, or other geophysical disciplines, or to understand and communicate what their atmospheric data sets have to say. The book includes chapters on exploratory data analysis, probability distributions, hypothesis testing, statistical weather forecasting, forecast verification, time(series analysis, and multivariate data analysis. Worked examples, exercises, and illustrations facilitate understanding of the material; an extensive and up-to-date list of references allows the reader to pursue selected topics in greater depth. Key Features * Presents and explains techniques used in atmospheric data summarization, analysis, testing, and forecasting * Includes extensive and up-to-date references * Features numerous worked examples and exercises * Contains over 130 illustrations.
Physical Description:1 online resource (xi, 467 pages) : illustrations, maps
Bibliography:Includes bibliographical references (pages 444-453) and index.
ISBN:9780127519654
0127519653
9780080541723
0080541720