02779nam 2200649Ia 450 991045107830332120200520144314.00-19-756093-81-280-52834-697866105283490-19-535663-21-4294-0645-3(CKB)1000000000409898(EBL)271222(OCoLC)251538245(SSID)ssj0000127736(PQKBManifestationID)11137086(PQKBTitleCode)TC0000127736(PQKBWorkID)10052517(PQKB)10235349(MiAaPQ)EBC271222(StDuBDS)EDZ0002337985(Au-PeEL)EBL271222(CaPaEBR)ebr10142320(CaONFJC)MIL52834(OCoLC)936850552(EXLCZ)99100000000040989819950712d1996 uy 0engur|n|---|||||txtccrComputational statistics in climatology[electronic resource] /Ilya PolyakNew York Oxford University Press19961 online resource (373 p.)Oxford scholarship onlinePreviously issued in print: 1996.0-19-509999-0 Includes bibliographical references (p. 348-354) and index.Contents; 1. DIGITAL FILTERS; 2. AVERAGING AND SIMPLE MODELS; 3. RANDOM PROCESSES AND FIELDS; 4. VARIABILITY OF ARMA PROCESSES; 5. MULTIVARIATE AR PROCESSES; 6. HISTORICAL RECORDS; 7. THE GCM VALIDATION; 8. SECOND MOMENTS OF RAIN; References; IndexScientific descriptions of the climate have traditionally been based on the study of average meteorological values taken from different positions around the world. In recent years however it has become apparent that these averages should be considered with other statstics that ultimately characterise spatial and temporal variability. This book is designed to meet that need. It is based on a course in computational statistics taught by the author that arose from a variety of projects on the design and development of software for the study of climate change, using statistics and methods of random functions.Oxford scholarship online.ClimatologyStatistical methodsMeteorologyStatistical methodsElectronic books.ClimatologyStatistical methods.MeteorologyStatistical methods.551.5/01/176Polyak Ilya633864MiAaPQMiAaPQMiAaPQBOOK9910451078303321Computational statistics in climatology1211396UNINA