LEADER 03853nam 2201117z- 450 001 9910557541003321 005 20220111 035 $a(CKB)5400000000044197 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76906 035 $a(oapen)doab76906 035 $a(EXLCZ)995400000000044197 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aTime Series Modelling 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (372 p.) 311 08$a3-0365-2121-6 311 08$a3-0365-2122-4 330 $aThe analysis and modeling of time series is of the utmost importance in various fields of application. This Special Issue is a collection of articles on a wide range of topics, covering stochastic models for time series as well as methods for their analysis, univariate and multivariate time series, real-valued and discrete-valued time series, applications of time series methods to forecasting and statistical process control, and software implementations of methods and models for time series. The proposed approaches and concepts are thoroughly discussed and illustrated with several real-world data examples. 606 $aHumanities$2bicssc 610 $aanomaly detection 610 $abank failures 610 $aBell distribution 610 $abivariate Poisson INGARCH model 610 $acointegration 610 $acount data 610 $acount time series 610 $acounting series 610 $aCUSUM control chart 610 $adispersion test 610 $aelectric power 610 $aentropy based particle filter 610 $aestimation 610 $aETS 610 $aextended binomial distribution 610 $afinance 610 $aforecasting accuracy 610 $aHolt-Winters 610 $aINAR 610 $aINAR-type time series 610 $aINGACRCH 610 $ainteger-valued moving average model 610 $ainteger-valued threshold models 610 $ainteger-valued time series 610 $aJulia programming language 610 $akernel density estimation 610 $alimit theorems 610 $alocal field potential 610 $along-range dependence 610 $amachine learning 610 $aminimum density power divergence estimator 610 $amissing data 610 $amodels 610 $amultivariate count data 610 $amultivariate data analysis 610 $amultivariate time series 610 $aneural network autoregression 610 $anonstationary 610 $aordinal patterns 610 $aoutliers 610 $aoverdispersion 610 $aparameter estimation 610 $aperiodic autoregression 610 $arandom survival rate 610 $arelative entropy 610 $arobust estimation 610 $aRomania 610 $aSARIMA 610 $aseasonality 610 $aSETAR 610 $aspectral matrix 610 $astate-space model 610 $astatistical process monitoring 610 $aStudent's t-process 610 $asubspace algorithms 610 $athinning operator 610 $atime series 610 $atime series analysis 610 $atime series of counts 610 $atransactions 610 $aunemployment rate 610 $aunsupervised learning 610 $aVARMA models 610 $avolatility fluctuation 610 $azero-inflation 615 7$aHumanities 700 $aWeiss$b Christian H$4edt$01161660 702 $aWeiss$b Christian H$4oth 906 $aBOOK 912 $a9910557541003321 996 $aTime Series Modelling$93038155 997 $aUNINA