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Regression Analysis of Time Series
Results: 404

#	Item
291	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
292	Developing a Best Practice Model for Forecasting Annual Franchise Fee Revenue The Case of the Lexington-Fayette Urban-County Government Executive Summary: The LFUCG currently forecasts their revenues internally and has t Add to Reading List Source URL: www.martin.uky.edu Language: English - Date: 2013-08-22 11:07:04 Data analysis Forecasting Exponential smoothing Forecast error Regression analysis Mean absolute percentage error Calculating demand forecast accuracy Demand sensing Statistics Time series analysis Statistical forecasting
293	NBER WORKING PAPER SERIES TESTING FOR STRUCTURAL BREAKS IN THE EVALUATION OF PROGRAMS Anne Morrison Piehl Add to Reading List Source URL: www.nber.org Language: English - Date: 1999-07-14 10:55:58 Time series analysis Statistical methods Evaluation Regression analysis T-statistic Program evaluation Null hypothesis F-test Statistic Statistics Econometrics Statistical tests
294	What to Do about Missing Values in Time-Series Cross-Section Data James Honaker The Pennsylvania State University Gary King Harvard University Applications of modern methods for analyzing data with missing values, based Add to Reading List Source URL: gking.harvard.edu Language: English - Date: 2012-12-14 14:17:16 Estimation theory Econometrics Imputation Regression analysis Listwise deletion Bootstrapping Prior probability Expectation–maximization algorithm Linear regression Statistics Data analysis Missing data
295	Structured Summary for ISDS Monthly Research Update Your Name and email address (for reference, not publication): Title, Author(s) of article: Add to Reading List Source URL: www.syndromic.org Language: English - Date: 2013-08-19 13:57:18 Seasonality Confounding Linear regression Correlation and dependence Correlation Statistics Time series analysis Influenza
296	New Directions Freestyle Data Fitting and Global Temperatures The method described here separates signal (trend) from noise in a set of measured Add to Reading List Source URL: math.nist.gov Language: English - Date: 2009-09-28 11:18:59 Numerical analysis Splines Time series analysis Signal processing Smoothing spline Linear least squares Autocorrelation Curve fitting Least squares Statistics Regression analysis Interpolation
297	A note on OCN Processing: The Retention of Negative Residual Lag-1 Autocorrelations Anthony Arguez NOAA’s National Climatic Data Center April 3, 2009 Add to Reading List Source URL: www1.ncdc.noaa.gov Language: English - Date: 2009-11-30 14:48:10 Covariance and correlation Autocorrelation Regression analysis Range of a projectile Expected value Signed zero Statistics Time series analysis Signal processing
298	The ILRS solution V. Luceri (e-GEOS S.p.A., ASI/CGS) E. Pavlis (JCET/UMBC & NASA Goddard) The ILRS contribution to ITRF2005 is a time series of weekly station coordinates and daily Earth Orientation Parameters (X-pole, Y Add to Reading List Source URL: itrf.ensg.ign.fr Language: English - Date: 2014-04-11 09:48:46 Measurement Error Errors and residuals in statistics Statistical theory Covariance Variance Statistics Regression analysis Data analysis
299	MORE THAN DOABLE: AN EXAMINATION OF STATISTICAL METHODS USED TO ANALYZE TIME TRENDS IN CONTAMINANT DATA CONTAINING NONDETECTS Add to Reading List Source URL: acwi.gov Language: English - Date: 2008-09-17 14:23:39 Research methods Time series analysis Econometrics Regression analysis Statistical methods Trend analysis Data set Statistics Information Science
300	CFE-ERCIM PROGRAMME CHANGES • Cancellations: Abstract C135: H. Suenaga. Estimating a term-structure model of commodity prices with heteroskedastic measurement error. Session CS76. Modelling the term structure of intere Add to Reading List Source URL: cfenetwork.org Language: English - Date: 2013-12-13 11:12:26 Time series Autoregressive conditional heteroskedasticity Regression analysis Scientific modelling Economic model Bayesian econometrics Mixture model Dynamic stochastic general equilibrium Statistics Econometrics Economics

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