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Regression Analysis of Time Series
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#	Item
271	Limnol. Oceanogr., 57(2), 2012, 665–[removed], by the Association for the Sciences of Limnology and Oceanography, Inc. doi:[removed]lo[removed]E Add to Reading List Source URL: www.aslo.org Language: English - Date: 2012-03-28 02:37:33 Regression analysis Econometrics Autocorrelation Signal processing CUSUM Correlation and dependence Variance Statistics Covariance and correlation Time series analysis
272	NBER Summer Institute What’s New in Econometrics: Time Series Lecture 8 July 15, 2008 Econometrics of DSGE Models Add to Reading List Source URL: www.nber.org Language: English - Date: 2008-07-23 17:30:56 Econometrics Estimation theory Dynamic stochastic general equilibrium Regression analysis Macroeconomic model Maximum likelihood Parameter identification problem Kalman filter Statistics Macroeconomics Economics
273	www.icpsr.umich.edu/sumprog ICPSR 2014 Summer Program in Quantitative Methods of Social Research Courses from two days to four weeks, May through August Add to Reading List Source URL: www.icpsr.umich.edu Language: English - Date: 2014-04-07 09:10:08 Econometrics Scientific method Regression analysis Research methods Structural equation modeling Data analysis Inter-university Consortium for Political and Social Research Analysis Time series Statistics Science Statistical methods
274	Silva Fennica[removed]research articles Genetic Variability of Scots Pine (Pinus sylvestris) Provenances in Spain: Growth Traits and Survival Ricardo Alía, Javier Moro-Serrano and Eduardo Notivol Add to Reading List Source URL: www.silvafennica.fi Language: English - Date: 2013-05-07 06:54:15 Regression analysis Statistical tests Time series analysis F-test Variance Normal distribution Autoregressive conditional heteroskedasticity Provenance Heteroscedasticity Statistics Econometrics Analysis of variance
275	Examining The Impact of Food Deserts & Food Imbalance On Public Health In . . . Add to Reading List Source URL: www.marigallagher.com Language: English - Date: 2010-08-11 00:26:07 Least squares Parametric statistics Time series analysis Coefficient of determination Errors and residuals in statistics Variance Analysis of variance Standard error Autoregressive conditional heteroskedasticity Statistics Regression analysis Econometrics
276	-6Ê Silva Fennica[removed]research articles Add to Reading List Source URL: www.silvafennica.fi Language: English - Date: 2013-05-07 04:22:17 Least squares Mathematical optimization Time series analysis Non-linear least squares Degrees of freedom Linear least squares Autoregressive conditional heteroskedasticity Errors and residuals in statistics Parameter Statistics Regression analysis Econometrics
277	The Role of Expectations in Inﬂation Dynamics∗ Jeﬀ Fuhrer Federal Reserve Bank of Boston A growing body of literature examines alternatives to the rational expectations hypothesis in applied macroeconomics. Add to Reading List Source URL: www.ijcb.org Language: English - Date: 2012-02-06 09:45:00 Econometrics Estimation theory Time series analysis Macroeconomics Rational expectations Phillips curve Instrumental variable Generalized method of moments Multicollinearity Statistics Regression analysis Economics
278	Accepted for publication in the Annals of Applied Statistics (in press), [removed]INFERRING CAUSAL IMPACT USING BAYESIAN STRUCTURAL TIME-SERIES MODELS By Kay H. Brodersen, Fabian Gallusser, Jim Koehler, Nicolas Remy, and Add to Reading List Source URL: static.googleusercontent.com Language: English - Date: 2014-09-20 03:22:20 Philosophy of science Conditionals Estimation theory Linear regression Causality Time series Seasonality Statistical power Statistics Econometrics Regression analysis
279	APPOSITE Sea Ice Prediction 2013 – June contribution to SEARCH Ed Hawkins, Jonny Day, Nathaniel Melia, Steffen Tietsche (University of Reading, UK) [removed] \| www.arctic.ac.uk/apposite \| Twitter: @arctic Add to Reading List Source URL: www.arcus.org Language: English - Date: 2013-07-11 19:31:33 Time series analysis Statistical forecasting Error Local regression Forecasting Smoothing National Snow and Ice Data Center Root-mean-square deviation Errors and residuals in statistics Statistics Regression analysis Data analysis
280	APPOSITE Sea Ice Prediction 2013 – June contribution to SEARCH Ed Hawkins, Jonny Day, Nathaniel Melia, Steffen Tietsche (University of Reading, UK) [removed] \| www.arctic.ac.uk/apposite \| Twitter: @arctic Add to Reading List Source URL: www.arcus.org Language: English - Date: 2013-06-13 19:49:34 Time series analysis Statistical forecasting Error Local regression Forecasting Smoothing National Snow and Ice Data Center Root-mean-square deviation Errors and residuals in statistics Statistics Regression analysis Data analysis