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Moving-average model
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#	Item
61	Microsoft PowerPoint - Slides_on_ARIMA_models--Robert_Nau.pptx Add to Reading List Source URL: people.duke.edu Language: English - Date: 2014-11-29 15:39:14 Box–Jenkins Autoregressive integrated moving average Moving-average model Autocorrelation Seasonality Forecasting Time series Autoregressive model Regression analysis Statistics Time series analysis Partial autocorrelation function
62	Bangko Sentral ng Pilipinas BSP Working Paper Series Forecasting the Volatility of Philippine Inflation using GARCH Models Add to Reading List Source URL: www.bsp.gov.ph Language: English - Date: 2013-11-05 13:22:15 Econometrics Noise Autoregressive conditional heteroskedasticity Technical analysis Mathematical finance Time series Volatility Forecasting Autoregressive–moving-average model Statistics Time series analysis Economics
63	Microsoft Word - BONDON Pascal + PASCAL frederic (24 Mar[removed]docx Add to Reading List Source URL: lx2.saas.hku.hk Language: English - Date: 2015-03-20 07:17:20 Summary statistics Data analysis Signal processing Autoregressive–moving-average model Covariance matrix Covariance Sample mean and sample covariance Estimation theory Central limit theorem Statistics Covariance and correlation Matrices
64	ITSM-R Reference Manual George Weigt [removed] November 11, 2013 Contents Add to Reading List Source URL: eigenmath.sourceforge.net Language: English - Date: 2014-12-07 12:48:19 Covariance and correlation Error Measurement Partial autocorrelation function Autoregressive integrated moving average Errors and residuals in statistics Time series Variance Autoregressive–moving-average model Statistics Regression analysis Time series analysis
65	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
66	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
67	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
68	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
69	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
70	[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

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