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proc arima

63 papers and 2 presentations; 63 titles.

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Conference × Year × Title × Authors Extras Pages
SESUG 2025 Time Series Analysis and Forecasting of U.S. Teenage Female Unemployment Sekyiwaah Nuamah 21
SESUG 2019 Intervention at the Library: Assessing the Effect of an Event David A. Dickey,
John Vickery		 source 19
SESUG 2019 The Best of Both Worlds: Forecasting Using Time Series with Inputs David A. Dickey source 19
SESUG 2019 Time Series Forecasting using PROC MCMC SESUG 2019 Murali Sastry,
Tyler Hicks		 source 16
SGF 2019 The Best of Both Worlds: Forecasting Using Time Series with Inputs David A. Dickey source 19
SESUG 2018 A Case Study of Mining Social Media Data for Disaster Relief: Hurricane Irma Hurricane Irma source 11
SGF 2018 A Case Study of Mining Social Media Data for Disaster Relief: Hurricane Irma Bogdan Gadidov,
Linh H. Le		 source 11
MWSUG 2016 Establishing Similarity of Modeled and Experimental PK/PD Hysteretic Loops using Pseudo Time Series Analysis and Dynamic Time Warping Ron Smith 18
SGF 2016 What's the Difference? David A. Dickey source 17
SGF 2015 The bookBot Ultimatum! David A. Dickey,
John Vickery		 source
zip		 19
SGF 2015 Time Series Modeling and Forecasting--An Application to Stress-Test Banks Ania Supady source 13
WUSS 2013 An Algorithm for ARIMA Dynamic Regression Variable Selection Ross Bettinger source 14
WUSS 2013 Dynamic Regression in ARIMA Modeling Ross Bettinger source 11
WUSS 2013 Using PROC ARIMA to Model Trends in US Home Prices Ross Bettinger source 13
MWSUG 2013 Use SAS/ETS to Forecast Credit Loss for CCAR Xinpeng (Tom) Wang 4
SGF 2013 Exploring Time Series Data Properties in SAS Aude Pujula,
David Maradiaga,
Hector Zapata		 source 12
NESUG 2012 Creating and Displaying an Econometric Model Automatically William 'Gui' Zupko II,
Justin Smith		 26
MWSUG 2012 Are Sales Figures in Line With Expectations? Using PROC ARIMA in SAS to Forecast Company Revenue Saveth Ho,
Brian Van Dorn		 10
SGF 2012 Variable Selection for Multivariate Cointegrated Time Series Prediction with PROC VARCLUS in SAS Enterprise Miner 7.1 Akkarapol Sa-ngasoongsong,
Satish T. Bukkapatnam		 source 12
SGF 2012 Weighted Portmanteau Tests Revisited: Detecting Heteroscedasticity, Fitting Nonlinear and Multivariate Time Series Thomas J. Fisher source 12
MWSUG 2011 Money Demand Estimation using SAS Gerard G Tano 16
SGF 2011 SAS/ETS and the Nobel Prize David A. Dickey source 14
NESUG 2007 Effective Forecast Visualization with SAS/GRAPH and ODS Samuel T. Croker 11
SGF 2007 OLS Regression? Auto-Regression? Dynamic Regression? Rodger Zhang source 12
SGF 2007 Presentation Quality Forecast Visualization with SAS/GRAPH Samuel T. Croker source 10
SUGI 2006 Modeling Water Quality Trend in Long Term Time Series Anpalaki J. Ragavan,
George C. J. Fernandez		 source 10
SUGI 2005 Stationarity Issues in Time Series Models David A. Dickey source 17
NESUG 2004 An Animated Guide: Proc UCM Russell M. Lavery 23
SESUG 2004 Case Studies in Time Series David A. Dickey source 10
WUSS 2003 Using the ARIMA Modeling Capabilities of SAS to Forecast Rates of Febrile Respiratory Infection at Eight U.S. Military Recruit Training Centers Christian J. Hansen,
Anthony W. Hawksworth,
Phillip I. Good,
Margaret A. K. Ryan		 source 3
NESUG 2003 Basic Usage of SAS/ETS' & SAS/STAT' to Forecast Time Series Douglas L. McAllaster 10
SUGI 2003 Case Studies in Time Series David A. Dickey source 9
SUGI 2003 Fast and Easy Ways to Advance on Your Beginning SAS Coworkers! Richard M. Mitchell source
SESUG 2002 Basic Usage of SAS/ETS Software to Forecast a Time Series Douglas L. McAllaster source 10
WUSS 2001 Detecting Seasonality in Univariate Time Series Data Using the SAS System Joseph E. Earley,
Seid M. Zekavat		 source 6
WUSS 2000 SAS STAT applications in Econometrics Mathura Thillainathan,
George C. J. Fernandez		 source 10
SEUGI 2000 Forecasting Bad Debt by ARIMA Models with Multiple Transfer Functions using a Selection Process for many Candidate Variables [presentation] Alastair Jones,
Derek Hull,
John Adam		 source 18
WUSS 1999 Directing into the Millennium: Quantifying the Role of the American Director Using SAS Statistical Procedures James D. Ryan source 4
WUSS 1999 Investigating Seasonality in BLS Data Using PROC ARIMA Joseph E. Earley source 6
WUSS 1998 Analysis of the Multivariate ENSO Index Using SAS/ETS Procedures Joseph E. Earley source 4
SCSUG 1997 The Use of PROC ARIMA to Test An Intervention Effect Neil S. Fleming,
Eric Gibson,
David G. Fleming		 8
NESUG 1997 Attribute Smoothing: A Pattern Forecasting Technique David R. Roberts 4
SUGI 1997 Forecasting College Enrollment Using the SAS System Joseph E. Earley,
Archie J. Calise		 source 4
SEUGI 1996 An automated sales forecasting system [presentation] UNKNOWN source 67
SUGI 1996 Using PROC ARIMA to Test an Intervention Effect Neil S. Fleming,
Eric Gibson,
David G. Fleming		 source 10
WUSS 1995 An Introduction to PROC ARIMA Using Macroeconomic Time Series Joseph E. Earley source 14
SUGI 1994 Recent Issues in Statistical Process Control: SAS Solutions USing Statistical Modeling Procedures Robert N. Rodriguez source 18
SUGI 1993 Forecasting Methods Mark Little source 13
SCSUG 1992 The Use of PROC ARIMA to Perform Time-Series Intervention Analysis of the Impact of the Texas 1989 Motorcycle Helmet Law on Total and Head-Related Fatalities Neil S. Fleming 21
SEUGI 1992 Analysing Business and Economic Data with SAS/ETS Software Georg Morsing source 9
SUGI 1992 Analyzing Business and Economics Data with SAS/ETS Software Mark Little source 9
SUGI 1992 Using the ARIMA Procedure in Forecasting the Demand and Utilization of Inpatient Hospital Services John J. Hisnanick source 9
SEUGI 1990 Short Term Predictions: A Monitoring System M. Helder source 7
SUGI 1990 CPU Load Forecasting Using the ARIMA Procedure Robert Hubata source 4
SUGI 1990 Determining Weight Values for EWMA Control Schemes Using the ARIMA Procedure John C. Brocklebank source 10
SUGI 1987 Time Series Intervention Analysis Using SAS Software Terry J. Woodfield source 9
SUGI 1987 Transfer Functions using PROC ARIMA John C. Brocklebank,
David A. Dickey		 source 7
SUGI 1986 Checking for Autocorrelation in Regression Residuals John C. Brocklebank,
David A. Dickey		 source 7
SUGI 1986 Performing the X1 1ARIMA Seasonal Adjustment John C. Brocklebank,
David A. Dickey		 source 10
SEUGI 1985 New Features of the SAS/ETS and SAS/OR Software in Version 5 John C. Brocklebank source 37
SUGI 1985 A Time Series Approach to Modeling Daily Peak Electricity Demands Michael F. Jacob source 6
SUGI 1984 A Hierarchical Approach to Daily Stock Market Forecasting Heydar Pourian source 6
SUGI 1984 Changes and Enhancements to SAS/ETS Procedures David M. DeLong,
Leigh A. Ihnen,
Mark Little		 source 6
SUGI 1982 New Time Series Features in SAS David M. DeLong source 3
SUGI 1980 Box-Jenkins Time Series Method and Computer Packages Syed Shahabuddin source 5

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