Name: Probability, Statistics, and Decision Making in the Atmospheric Sciences (en Inglés)
Price: 101410.00 CLP
Availability: InStock
Author: Allan Murphy; Richard W. Katz
ISBN: 9780367284336

portada Probability, Statistics, and Decision Making in the Atmospheric Sciences (en Inglés)

Formato

Libro Físico

Editorial

Crc Pr Inc

Autor

Allan Murphy; Richard W. Katz

Idioma

Inglés

Encuadernación

Tapa Dura

ISBN13

9780367284336

Probability, Statistics, and Decision Making in the Atmospheric Sciences (en Inglés)

Allan Murphy; Richard W. Katz (Autor) · Crc Pr Inc · Tapa Dura

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Reseña del libro "Probability, Statistics, and Decision Making in the Atmospheric Sciences (en Inglés)"

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.