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Autoregressive–moving-average model
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61	This subject paper is intended to be a research paper delving into different views and analyses from various sources Add to Reading List Source URL: www.pland.gov.hk Language: English - Date: 2014-06-30 12:04:33 Forecasting Tourism Economic model Autoregressive–moving-average model Time series Macroeconomic model Hong Kong Time series analysis Statistics Autoregressive integrated moving average
62	Principles and risks of forecasting Robert Nau Fuqua School of Business, Duke University September 2014 “I have seen the future and it is very much like the present only longer.” –K. Albran, The Profit Add to Reading List Source URL: people.duke.edu Language: English - Date: 2014-09-20 14:13:54 Data analysis Statistical forecasting Time series analysis Forecasting Linear regression Economic model Autoregressive integrated moving average Errors and residuals in statistics Trend estimation Statistics Regression analysis Econometrics
63	Microsoft PowerPoint - Slides_on_forecasting_with_inflation_seasonal_adjustment_and_Winters_model--Robert Nau.pptx Add to Reading List Source URL: people.duke.edu Language: English - Date: 2014-11-05 14:22:42 Inflation Econometrics Price indices Seasonality Inflation rate Seasonal adjustment Forecasting Economic data Autoregressive integrated moving average Economics Statistics Time series analysis
64	Notes on nonseasonal ARIMA models Robert Nau Fuqua School of Business, Duke University 1. THE GENERAL THEORY So far we have looked at several different classes of models that might be used to predict a time Add to Reading List Source URL: people.duke.edu Language: English - Date: 2014-10-30 13:49:35 Noise Partial autocorrelation function Econometrics Regression analysis Moving-average model Autoregressive integrated moving average Autocorrelation Time series Data transformation Statistics Time series analysis Covariance and correlation
65	Mathematical structure of ARIMA models Add to Reading List Source URL: people.duke.edu Language: English - Date: 2014-12-13 14:48:00 Polynomials Autoregressive integrated moving average Noise Algebra Unit root Augmented Dickey–Fuller test Coefficient Autoregressive model Finite difference Statistics Time series analysis Mathematics
66	[removed]Reserve Bank of Australia RESEARCH DISCUSSION Add to Reading List Source URL: www.rba.gov.au Language: English - Date: 2010-01-17 19:17:01 Multivariate statistics Statistical methods Regression analysis Macroeconomic model Dynamic stochastic general equilibrium Economic model Vector autoregression Autoregressive integrated moving average Forecasting Statistics Econometrics Time series analysis
67	Short Term Traffic Flow Prediction Edward Chung, Natalia Rosalion INTRODUCTION In recent years the traditional objective of improving road network efficiency is being supplemented by greater emphasis on safety, incident Add to Reading List Source URL: www.atrf.info Language: English - Date: 2011-12-06 18:16:53 Autoregressive integrated moving average Box–Jenkins Forecasting Regression analysis Traffic flow Linear regression Time series Autoregressive conditional heteroskedasticity Autoregressive–moving-average model Statistics Time series analysis Econometrics
68	20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013 www.mssanz.org.au/modsim2013 The performance of hybrid ARIMA-GARCH modeling in forecasting gold price S.R. Yaziza, N.A. Az Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-11-19 22:06:15 Mathematical finance Autoregressive conditional heteroskedasticity Statistical forecasting Noise Autoregressive integrated moving average Forecasting Box–Jenkins Time series Moving-average model Statistics Time series analysis Econometrics
69	Improving electricity market price scenarios by means of forecasting factor models M. Pilar Mu˜ noz, Cristina Corchero and F.-Javier Heredia Dept. of Statistics and Operations Research Universitat Polit`ecnica de Catalu Add to Reading List Source URL: upcommons.upc.edu Language: English - Date: 2013-10-09 07:31:46 Forecasting Statistical forecasting Time series analysis Electricity market Economic model Macroeconomic model Autoregressive integrated moving average Statistics Electric power distribution Data analysis
70	Indian Journal of Fisheries 38 (2) : [removed], June[removed]Trend analysis in all-India mackerel catches using ARIMA models A NOBLE1 and T V SATHIANANDAN2 Add to Reading List Source URL: eprints.cmfri.org.in Language: English - Date: 2010-03-26 04:50:47 Autoregressive integrated moving average Box–Jenkins Moving-average model Time series Autoregressive conditional heteroskedasticity Autocorrelation Mackerel Autoregressive model Forecasting Statistics Time series analysis Partial autocorrelation function

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