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Statistical Methods in the Atmospheric Sciences

An Introduction

1st Edition, Volume 59 - January 23, 1995

Author: Daniel S. Wilks

Language: English
eBook ISBN:
9 7 8 - 0 - 0 8 - 0 5 4 1 7 2 - 3

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… Read more

Statistical Methods in the Atmospheric Sciences

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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.