Probability Statistics And Decision Making In The Atmospheric Sciences

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Probability, Statistics, And Decision Making In The Atmospheric Sciences

Probability, Statistics, And Decision Making In The Atmospheric Sciences
Author :
Publisher : CRC Press
Total Pages : 560
Release :
ISBN-10 : 9781000236323
ISBN-13 : 1000236323
Rating : 4/5 (323 Downloads)

Book Synopsis Probability, Statistics, And Decision Making In The Atmospheric Sciences by : Allan Murphy

Download or read book Probability, Statistics, And Decision Making In The Atmospheric Sciences written by Allan Murphy and published by CRC Press. This book was released on 2019-07-11 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methodology drawn from the fields of probability. statistics and decision making plays an increasingly important role in the atmosphericsciences. both in basic and applied research and in experimental and operational studies. Applications of such methodology can be found in almost every facet of the discipline. from the most theoretical and global (e.g., atmospheric predictability. global climate modeling) to the most practical and local (e.g., crop-weather modeling forecast evaluation). Almost every issue of the multitude of journals published by the atmospheric sciences community now contain some or more papers involving applications of concepts and/or methodology from the fields of probability and statistics. Despite the increasingly pervasive nature of such applications. very few book length treatments of probabilistic and statistical topics of particular interest to atmospheric scientists have appeared (especially inEnglish) since the publication of the pioneering works of Brooks andCarruthers (Handbook of Statistical Methods in Meteorology) in 1953 and Panofsky and Brier-(some Applications of)statistics to Meteor) in 1958. As a result. many relatively recent developments in probability and statistics are not well known to atmospheric scientists and recent work in active areas of meteorological research involving significant applications of probabilistic and statistical methods are not familiar to the meteorological community as a whole.


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