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010   $a1-282-24252-0
010   $a9786613813640
010   $a1-118-03297-7
010   $a1-118-03122-9
035   $a(CKB)2560000000055456
035   $a(EBL)695045
035   $a(OCoLC)701308685
035   $a(SSID)ssj0000483588
035   $a(PQKBManifestationID)11303503
035   $a(PQKBTitleCode)TC0000483588
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100   $a20000405d2001      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 02$aA course in time series analysis$b[electronic resource] /$fedited by Daniel Pen?a, George C. Tiao, Ruey S. Tsay
210   $aNew York $cJ. Wiley$dc2001
215   $a1 online resource (494 p.)
225 1 $aWiley series in probability and statistics
300   $aDescription based upon print version of record.
311   $a0-471-36164-X 
320   $aIncludes bibliographical references and index.
327   $apt. 1. Basic concepts in univariate time series -- pt. 2. Advanced topics in univariate time series -- pt. 3. Multivariate time series.
330   $aNew statistical methods and future directions of research in time series A Course in Time Series Analysis demonstrates how to build time series models for univariate and multivariate time series data. It brings together material previously available only in the professional literature and presents a unified view of the most advanced procedures available for time series model building. The authors begin with basic concepts in univariate time series, providing an up-to-date presentation of ARIMA models, including the Kalman filter, outlier analysis, automatic methods for building ARIMA m
410  0$aWiley series in probability and statistics.
606   $aTime-series analysis
615  0$aTime-series analysis.
676   $a519.5/5
676   $a519.55
701   $aPen?a$b Daniel$f1948-$0614022
701   $aTiao$b George C.$f1933-$047917
701   $aTsay$b Ruey S.$f1951-$0294061
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a996213510403316
996   $aCourse in time series analysis$91129259
997   $aUNISA