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100   $a20201001d2020      fy             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aTime series analysis /$fby Mark Pickup ; edited by Paul Atkinson, Sara Delamont, Alexandru Cernat, Joseph W. Sakshaug & Richard A. Williams
210  1$aLondon :$cSAGE Publications Ltd.,$d2020.
215   $a1 online resource $cillustrations
320   $aIncludes bibliographical references and index.
330 8 $aTime series data are chronological sequences of observations produced by regularly and repeatedly measuring some characteristic or characteristics of the same case over time (e.g., aggregate support for the government in a country, the crime rate in a city). Time series analysis is the application of statistical models to time series data. This entry defines time series analysis and distinguishes time series data from other forms of data. It defines important time series notation and terminology. It provides a discussion of the challenges of time series analysis and of key time series fundamentals: autoregression, autocorrelation, serial correlation, stationarity, exogeneity, weak dependence, trending, seasonality, structural breaks, and stability.
606   $aPolitical Science
615  0$aPolitical Science.
676   $a658.409223
700   $aPickup$b Mark$c(Associate professor),$01220579
702   $aAtkinson$b Paul$f1947-
702   $aDelamont$b Sara$f1947-
702   $aCernat$b Alexandru
702   $aSakshaug$b Joseph W.
702   $aWilliams$b Richard A.$factive 2020,
801  0$bCaToSAGE
801  1$bCaToSAGE
801  2$bUtOrBLW
906   $aBOOK
912   $a9910557754303321
996   $aTime series analysis$92824805
997   $aUNINA