First Page | Document Content | |
---|---|---|
![]() Date: 2013-04-18 00:23:15Autoregressive integrated moving average Moving-average model Arima Autoregressive model Time series Errors and residuals in statistics Statistics Noise Time series analysis | Source URL: www.stat.washington.eduDownload Document from Source WebsiteFile Size: 1,93 MBShare Document on Facebook |
![]() | Nonlinear Processes in Geophysics, 12, 515–525, 2005 SRef-ID: npgEuropean Geosciences Union © 2005 Author(s). This work is licensed under a Creative Commons License.DocID: 1rftO - View Document |
![]() | Forecasting Daily and High-frequency Data M´elard, Guy Abstract Examples of high-frequency time series arise in many fields of applications, like daily sales in stores, energy consumptions by hours in office buildings,DocID: 1r48z - View Document |
![]() | ABOUT MANUSCRIPTS FOR IJ ITADocID: 1r3dB - View Document |
![]() | SSDBMEfficient In-Database Maintenance of ARIMA Models Technische Universität Dresden Database Technology GroupDocID: 1qWv2 - View Document |
![]() | Microsoft Word - Time series.docxDocID: 1qOda - View Document |