T�tulo: Statistical Methods in the Atmospheric Sciences: An Introduction (Volume 59) (International Geophysics, Volume 59)
Editor: Academic Press
Fecha de publicaci�n: 1995
Idioma: Ingl�s
ISBN 10: 0127519653
ISBN 13: 9780127519654
Encuadernaci�n: Hardcover
Estado: Good
Estado de la sobrecubierta: No Jacket
Peso: 1,95 libras

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Sinopsis

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.

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Daniel S. Wilks has been a member of the Atmospheric Sciences faculty at Cornell University since 1987, and is the author of Statistical Methods in the Atmospheric Sciences (2011, Academic Press), which is in its third edition and has been continuously in print since 1995. Research areas include statistical forecasting, forecast postprocessing, and forecast evaluation.

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