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Time series analysis
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#	Item
601	Final Exam ST512 MarName: • You have 110 minutes to complete the exam. • There are 30 questions. Answer all of the questions. Add to Reading List Source URL: stat512.cwick.co.nz Language: English - Date: 2015-02-25 15:30:31 Time series analysis Regression analysis Analysis of variance Design of experiments LSm Autoregressive conditional heteroskedasticity F-test Coefficient of determination Degrees of freedom Statistics Statistical tests Econometrics
602	Journal of Comprehensive Research An empirical investigation of Arbitrage Pricing Theory: A case Zimbabwe Petros Jecheche University of Zimbabwe Add to Reading List Source URL: www.aabri.com Language: English - Date: 2015-01-14 14:55:47 Finance Time series analysis Econometrics Financial markets Arbitrage pricing theory Granger causality Inflation Capital asset pricing model Cointegration Economics Financial economics Mathematical finance
603	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: cran.skazkaforyou.com Language: English - Date: 2010-12-19 04:13:33 Parametric statistics Estimation theory Time series analysis Bootstrapping Plot Q-Q plot Ordinary least squares Linear regression Errors and residuals in statistics Statistics Regression analysis Econometrics
604	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: cran.dcc.fc.up.pt Language: English - Date: 2010-12-19 04:13:33 Parametric statistics Estimation theory Time series analysis Bootstrapping Plot Q-Q plot Ordinary least squares Linear regression Errors and residuals in statistics Statistics Regression analysis Econometrics
605	R functions for time series analysis by Vito Ricci () RR FUNCTIONS FOR TIME SERIES ANALYSIS Here are some helpful R functions for time series analysis. They belong from stats, tseries, Add to Reading List Source URL: cran.stat.auckland.ac.nz Language: English - Date: 2004-11-29 04:09:50 Econometrics Covariance and correlation Noise Augmented Dickey–Fuller test Autoregressive integrated moving average Autoregressive conditional heteroskedasticity Partial autocorrelation function Time series Jarque–Bera test Statistics Time series analysis Statistical tests
606	Modelling Volatility Spillovers And Causality In International Tourism And Country Risk For Cyprus And Malta Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 18:10:41 Economics Ethics Actuarial science Autoregressive conditional heteroskedasticity Econometrics Time series analysis Risk Volatility Tourism Technical analysis Mathematical finance Statistics
607	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: cran-mirror.cs.uu.nl Language: English - Date: 2010-12-19 04:13:33 Parametric statistics Estimation theory Time series analysis Bootstrapping Plot Q-Q plot Ordinary least squares Linear regression Errors and residuals in statistics Statistics Regression analysis Econometrics
608	icebreakeR Andrew Robinson Department of Mathematics and Statistics University of Melbourne Parkville, Vic. 3010 Add to Reading List Source URL: cran.fiocruz.br Language: English - Date: 2010-12-19 04:13:33 Parametric statistics Estimation theory Time series analysis Bootstrapping Plot Q-Q plot Ordinary least squares Linear regression Errors and residuals in statistics Statistics Regression analysis Econometrics
609	R functions for time series analysis by Vito Ricci () RR FUNCTIONS FOR TIME SERIES ANALYSIS Here are some helpful R functions for time series analysis. They belong from stats, tseries, Add to Reading List Source URL: cran.es.r-project.org Language: English - Date: 2004-11-29 04:09:50 Econometrics Covariance and correlation Noise Augmented Dickey–Fuller test Autoregressive integrated moving average Autoregressive conditional heteroskedasticity Partial autocorrelation function Time series Jarque–Bera test Statistics Time series analysis Statistical tests
610	Forecast Consistency Verification for Climate Models Tressa L. Fowler Barbara G. Brown, Eric Gilleland, Randy Bullock, John Halley Gotway, Caspar Amman, Tara Jensen, Paul Kucera Research Applications Laboratory, NCAR Add to Reading List Source URL: icap.atmos.und.edu Language: English - Date: 2014-11-04 11:58:18 Statistical forecasting Weather prediction National Weather Service Autocorrelation Forecasting Ensemble forecasting Statistics Time series analysis Prediction

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