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010   $a9781608053735
010   $a1608053733
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035   $a(EBL)1041544
035   $a(OCoLC)815670662
035   $a(SSID)ssj0000985584
035   $a(PQKBManifestationID)11628911
035   $a(PQKBTitleCode)TC0000985584
035   $a(PQKBWorkID)10929582
035   $a(PQKB)11473447
035   $a(MiAaPQ)EBC1041544
035   $a(Au-PeEL)EBL1041544
035   $a(CaPaEBR)ebr10587894
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035   $a(DE-B1597)9781608053735
035   $a(EXLCZ)992560000000091231
100   $a20120820d2012      uy         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 00$aAdvances in time series forecasting /$feditor, Cagdas Hakan Aladag ; co-editor, Erol Eg?riog?lu
205   $a1st ed.
210   $a[Oak Park, Ill.] $cBentham eBooks$d[2012]
215   $a1 online resource (143 p.)
225 0 $aAdvances in Time Series Forecasting ;$v1
300   $aDescription based upon print version of record.
311 08$a9781608055227 
311 08$a1608055221 
320   $aIncludes bibliographical references and indexes.
327   $apt. 1. Time series forecasting using ANN -- pt. 2. Fuzzy time series -- pt. 3. Hybrid methods.
330   $aReaders will learn how these methods work and how these approaches can be used to forecast real life time series. The hybrid forecasting model is also explained. Data presented in this e-book is problem based and is taken from real life situations. It is a valuable resource for students, statisticians and working professionals interested in advanced time series analysis.  
606   $aTime-series analysis
615  0$aTime-series analysis.
676   $a621.38220151
700   $aAladag$b Cagdas Hakan, $4aut$4http://id.loc.gov/vocabulary/relators/aut$01800516
701   $aAladag$b Cagdas Hakan$01800516
701   $aEg?riog?lu$b Erol$01800517
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910958731003321
996   $aAdvances in time series forecasting$94345340
997   $aUNINA