000			01626nam a2200253ui 4500
001			US1100901748
003			OSt
008			101213s2006 ne a f 001 00eng d
020			_a978-0-12-751966-1
040			_aUCA-CYT _cUCA
100	1		_aWilks, Daniel S.
245	1	0	_aStatistical methods in the atmospheric sciences / _cD. S. Wilks
250			_a2nd ed.
260			_aAmsterdam : _bElsevier, _c2006
300			_aXVII, 627 p. : _bil. ; _c27 cm
490	0	0	_aInternational geophysics series ; _v91
520			_aFundamentally, statistics is concerned with managing data and making inferences and forecasts in the face of uncertainty. It should not be surprising, therefore, that statistical methods have a key role to play in the atmospheric sciences. It is the uncertainty in atmospheric behavior that continues to move research forward and drive innovations in atmospheric modeling and prediction. This revised and expanded text explains the latest statistical methods that are being used to describe, analyze, test and forecast atmospheric data. It features numerous worked examples, illustrations, equations, and exercises with separate solutions. Statistical Methods in the Atmospheric Sciences, Second Edition will help advanced students and professionals understand and communicate what their data sets have to say, and make sense of the scientific literature in meteorology, climatology, and related disciplines.
650	0	4	_aFísica atmosférica _xMétodos estadísticos
909			_bcyt _c-
942			_n0
998			_b1 _c101221 _dm _ea _f- _g0
907			_a84ds2
907			_amld _bcrsp101221
999			_c871024 _d871024