Moving-average model - PDFSEARCH.IO - Document Search Engine

Moving-average model
Results: 171

#	Item
31	RESEARCH REPORT Serial No. 507 November 2013 THRESHOLD MODELS IN TIME SERIES ANALYSIS-SOME REFLECTIONS Add to Reading List Source URL: lx2.saas.hku.hk Language: English - Date: 2013-11-05 06:18:22 Non-linear systems Stochastic processes Noise STAR model Autoregressive conditional heteroskedasticity Threshold model Akaike information criterion Moving-average model Maximum likelihood Statistics Time series analysis Estimation theory
32	Proceedings of the 2005 International Conference on Simulation and Modelling V. Kachitvichyanakul, U. Purintrapiban, and P. Uthayopas, eds. A TIME SERIES ANALYSIS OF THE UNCERTAINTY IN INTERNATIONAL TOURIST ARRIVALS TO T Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 22:02:57 Time series analysis Tourism Moving-average model Economics Statistics Autoregressive conditional heteroskedasticity Econometrics
33	Curriculum Vitae for WAI KEUNG LI Ph. D. Department of Statistics & Actuarial Science Add to Reading List Source URL: lx2.saas.hku.hk Language: English - Date: 2014-10-29 02:24:37 Autoregressive conditional heteroskedasticity Time series Linear regression Unit root test Autoregressive–moving-average model Akaike information criterion Autoregressive conditional duration Threshold model Heteroscedasticity Statistics Time series analysis Econometrics
34	A Note on the Invertibility of Nonlinear ARMA models Kung-Sik Chan Department of Statistics & Actuarial Science University of Iowa, Iowa City, IA 52242, U.S.A. Email: Add to Reading List Source URL: lx2.saas.hku.hk Language: English - Date: 2009-06-02 14:03:05 Statistical models Moving-average model Linear model Invertible knot Recurrence relation Statistics Regression analysis Noise
35	SWOV Fact sheet Time series analysis Summary Time series analysis can be used to quantitatively monitor, describe, explain, and predict road safety developments. Time series analysis techniques offer the possibility of q Add to Reading List Source URL: www.swov.nl Language: English - Date: 2013-08-06 10:39:00 Estimation theory Econometrics Linear regression Time series Autoregressive integrated moving average Errors and residuals in statistics T-statistic Simple linear regression Linear model Statistics Regression analysis Parametric statistics
36	PDF Document Add to Reading List Source URL: www.icrc.act.gov.au Language: English - Date: 2015-04-23 00:54:02 Prediction Time Forecasting Autoregressive integrated moving average Box–Jenkins Demand forecasting Macroeconomic model Arima Time series Statistics Time series analysis Statistical forecasting
37	Interpretation of North Pacific Variability as a Short and Long Memory Process Donald Percival James Overland Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2001-08-14 12:46:51 Econometrics Regression analysis Normal distribution Measurement Autoregressive–moving-average model Autocorrelation Confidence interval Statistical power Structure Statistics Time series analysis Noise
38	GAIDAR INSTITUTE FOR ECONOMIC POLICY 07’, Russia, Moscow, Gazetny Pereulok 5 Tel./Fax + Add to Reading List Source URL: iep.ru Language: English - Date: 2014-09-09 04:07:51 Price indices Autoregressive integrated moving average Forecasting Price index Index Macroeconomic model Consumer price index Statistics Economics Time series analysis
39	Spatial Time-Series Modeling: A review of the proposed methodologies Yiannis Kamarianakis Department of Economics, University of Crete, Rethymnon, Greece, and Regional Analysis Division, Institute of Applied and Computat Add to Reading List Source URL: itcnt05.itc.nl Language: English - Date: 2008-09-22 04:53:12 Noise Autoregressive–moving-average model Stochastic processes Time series Autoregressive integrated moving average Regression analysis Autoregressive conditional heteroskedasticity Economic model Vector autoregression Statistics Time series analysis Econometrics
40	Optimal Estimation of Multivariate ARMA Models Martha White, Junfeng Wen, Michael Bowling and Dale Schuurmans Department of Computing Science, University of Alberta, Edmonton AB T6G 2E8, Canada {whitem,junfeng.wen,mbowli Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2015-01-15 16:29:05 Time series analysis Econometrics Autoregressive–moving-average model Noise Autoregressive conditional heteroskedasticity Expectation–maximization algorithm Maximum likelihood Kalman filter Normal distribution Statistics Statistical theory Estimation theory

UPDATE