LEADER 02063nam 2200601Ia 450 001 9910786740203321 005 20230803030000.0 010 $a0-19-932406-9 010 $a0-19-756319-8 010 $a0-19-982764-8 035 $a(CKB)2670000000357793 035 $a(StDuBDS)AH25206770 035 $a(SSID)ssj0000886205 035 $a(PQKBManifestationID)12318993 035 $a(PQKBTitleCode)TC0000886205 035 $a(PQKBWorkID)10835453 035 $a(PQKB)10718819 035 $a(MiAaPQ)EBC1173580 035 $a(StDuBDS)EDZ0002341385 035 $a(Au-PeEL)EBL1173580 035 $a(CaPaEBR)ebr10703982 035 $a(CaONFJC)MIL491333 035 $a(OCoLC)922904430 035 $a(EXLCZ)992670000000357793 100 $a20120702d2013 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aHurricane climatology$b[electronic resource] $ea modern statistical guide using R /$fJames B. Elsner and Thomas H. Jagger 210 $aNew York $cOxford University Press$d2013 215 $a1 online resource (xiv, 373 pages )$cillustrations (black and white, and colour) 225 1 $aOxford scholarship online 300 $aPreviously issued in print: 2013. 311 $a0-19-982763-X 320 $aIncludes bibliographical references and index. 330 8 $a'Hurricane Climatology'explains how to analyze and model hurricane data to better understand and predict present and future hurricane activity. 410 0$aOxford scholarship online. 606 $aHurricanes$xForecasting$xStatistical methods 606 $aR (Computer program language) 615 0$aHurricanes$xForecasting$xStatistical methods. 615 0$aR (Computer program language) 676 $a551.55/20285555 700 $aElsner$b James B$01493329 701 $aJagger$b Thomas H$01493330 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910786740203321 996 $aHurricane climatology$93716263 997 $aUNINA