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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Wilks, Daniel S.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Diego : Academic Press, �1995.
Colección:International geophysics series ; v. 59.
Temas:
Acceso en línea:Texto completo
Texto completo

MARC

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100 1 |a Wilks, Daniel S. 
245 1 0 |a Statistical methods in the atmospheric sciences :  |b an introduction /  |c Daniel S. Wilks. 
260 |a San Diego :  |b Academic Press,  |c �1995. 
300 |a 1 online resource (xi, 467 pages) :  |b illustrations, maps 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a International geophysics series ;  |v v. 59 
504 |a Includes bibliographical references (pages 444-453) and index. 
505 0 |a Review of probability -- Empirical distributions and exploratory data analysis -- Theoretical probability distributions -- Hypothesis testing -- Statistical weather forecasting -- Forecast verification -- Time series -- Methods for multivariate data. 
520 |a 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. 
588 0 |a Print version record. 
650 0 |a Atmospheric physics  |x Statistical methods. 
650 6 |a Physique de l'atmosph�ere  |0 (CaQQLa)201-0008006  |x M�ethodes statistiques.  |0 (CaQQLa)201-0373903 
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650 7 |a SCIENCE  |x Earth Sciences  |x Meteorology & Climatology.  |2 bisacsh 
650 7 |a Atmospheric physics  |x Statistical methods  |2 fast  |0 (OCoLC)fst00820484 
653 0 |a Weather  |a Forecasting  |a Statistics 
776 0 8 |i Print version:  |a Wilks, Daniel S.  |t Statistical methods in the atmospheric sciences.  |d San Diego : Academic Press, �1995  |z 0127519653  |z 9780127519654  |w (DLC) 94031848  |w (OCoLC)30973546 
830 0 |a International geophysics series ;  |v v. 59. 
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