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Moving-average model
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#	Item
101	The glarma Package for Observation Driven Time Series Regression of Counts William T.M. Dunsmuir David J. Scott Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-25 02:06:02 Econometrics Parametric statistics Actuarial science Linear regression Likelihood function Autoregressive–moving-average model Maximum likelihood Generalized linear model T-statistic Statistics Estimation theory Regression analysis
102	Package ‘glarma’ September 25, 2014 Type Package Title Generalized Linear Autoregressive Moving Average Models Version[removed]Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-25 02:06:02 Forecasting Linear regression Autoregressive–moving-average model Generalized linear model Degrees of freedom Statistics Regression analysis Errors and residuals in statistics
103 $Forecasting / Moving-average model / Partial autocorrelation function / Errors and residuals in statistics / Autoregressive fractionally integrated moving average / Regression analysis / Seasonality / Time series / Null / Statistics / Time series analysis / Autoregressive integrated moving average$	Package ‘forecast’ September 24, 2014 Version 5.6 Title Forecasting functions for time series and linear models Description Methods and tools for displaying and analysing univariate time series forecasts including ex Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-24 00:54:31 Forecasting Moving-average model Partial autocorrelation function Errors and residuals in statistics Autoregressive fractionally integrated moving average Regression analysis Seasonality Time series Null Statistics Time series analysis Autoregressive integrated moving average
104	Forecasting and Modeling Worker Injury Rates in Ontario Ian Moore [removed] Plenary Talk, January 12th, 2010 Add to Reading List Source URL: www.iwh.on.ca Language: English - Date: 2014-10-07 21:34:20 Data analysis Forecasting Macroeconomics Autoregressive integrated moving average Business cycle Climatology Macroeconomic model Future Time series Statistics Time series analysis Statistical forecasting
105	Time Series Analysis in dplR Andy Bunn Mikko Korpela Processed with dplR[removed]in R version[removed]25) on April 25, 2014 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 11:40:20 Regression analysis Functional analysis Noise Partial autocorrelation function Autocorrelation Moving-average model Time series Autoregressive conditional heteroskedasticity Autoregressive integrated moving average Statistics Time series analysis Covariance and correlation
106	JWST451-Derryberry May 13, [removed]:38 Add to Reading List Source URL: media.wiley.com Language: English - Date: 2014-05-28 07:13:20 Model selection Noise Moving-average model Akaike information criterion Autoregressive model Autocorrelation Correlogram Time series Bayesian information criterion Statistics Regression analysis Time series analysis
107	Discussion Paper How unusual weather influences GDP The views expressed in this paper are those of the author(s) and do not necessarily Add to Reading List Source URL: www.cbs.nl Language: English - Date: 2014-08-16 05:35:04 Gross domestic product Dummy variable Autoregressive integrated moving average Economic model Meteorology Weather Statistics Econometrics Regression analysis
108	Inflācijas gaidas Latvijā: patērētāju apsekojuma rezultāti Add to Reading List Source URL: www.macroeconomics.lv Language: English - Date: 2010-12-07 09:53:53 Autoregressive conditional heteroskedasticity Inflation Autoregressive–moving-average model Economic model Time series Unit root Heteroscedasticity Coefficient of determination Normal distribution Statistics Time series analysis Econometrics
109	JWST451-Derryberry May 23, [removed]:39 Add to Reading List Source URL: media.wiley.com Language: English - Date: 2014-05-28 07:13:20 Noise Regression analysis Statistical models Autocorrelation Autoregressive model Moving-average model Akaike information criterion Time series Correlogram Statistics Time series analysis Covariance and correlation
110	Discussion of: Barigozzi-Lippi-Luciani - Dynamic Factor Models, Cointegration, and Error Correction Mechanisms R. Mosconi Politecnico di Milano 4th Carlo Giannini Conference Add to Reading List Source URL: www.bancaditalia.it Language: English - Date: 2014-04-10 12:58:32 Economics Cointegration Mathematical finance Economic model Autoregressive integrated moving average Unit root Time series analysis Econometrics Statistics

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