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48 papers; 42 titles.

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Conference × Year × Title × Authors Extras Pages
SESUG 2019 The Best of Both Worlds: Forecasting Using Time Series with Inputs David A. Dickey source 19
MWSUG 2019 Exploring and characterizing time series data in a non-regression based approach Steven C. Myers 20
SGF 2019 IFRS9: Using SAS/ETD Software and SAS Studio to Select Macro Economic Variables Julio Alberto Campa Vega Filho source 19
SGF 2019 The Best of Both Worlds: Forecasting Using Time Series with Inputs David A. Dickey source 19
SESUG 2018 Forecasting: Something Old, Something New David A. Dickey source 26
WUSS 2018 Forecasting: Something Old, Something New David A. Dickey source 26
SGF 2018 Forecasting: Something Old, Something New David A. Dickey source 26
SGF 2016 Can You Stop the Guesswork in Your Marketing Budget Allocation? Marketing Mixed Modeling Using SAS Can Help! Delali Agbenyegah source 7
SGF 2016 What's the Difference? David A. Dickey source 17
SCSUG 2015 Using SAS Software to Determine the Mixed Rotterdam Demand Model Parameters and Test Statistical References Maryam Tabarestani,
Hector Zapata		 23
MWSUG 2015 Can You Stop the Guesswork in Your Marketing Budget Allocation? Marketing Mixed Modeling Using SAS Can Help! Delali Agbenyegah 7
SGF 2015 An Introduction to Testing for Unit Roots Using SAS: The Case of U.S. National Health Expenditures Don McCarthy source
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SGF 2015 SAS Analytics plus Warren Buffett's Wisdom Beats Berkshire Hathaway! Huh? Bruce Bedford source 20
SGF 2015 Time Series Modeling and Forecasting--An Application to Stress-Test Banks Ania Supady source 13
WUSS 2013 Using PROC ARIMA to Model Trends in US Home Prices Ross Bettinger source 13
SGF 2013 Exploring Time Series Data Properties in SAS Aude Pujula,
David Maradiaga,
Hector Zapata		 source 12
MWSUG 2012 Are Sales Figures in Line With Expectations? Using PROC ARIMA in SAS to Forecast Company Revenue Saveth Ho,
Brian Van Dorn		 10
WUSS 2012 Automobile Sales Modeling using Granger-Causality Graph with PROC VARMAX in SAS 9.3 Akkarapol Sa-ngasoongsong source 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
MWSUG 2011 Money Demand Estimation using SAS Gerard G Tano 16
SGF 2011 SAS/ETS and the Nobel Prize David A. Dickey source 14
SESUG 2010 Stationarity Testing in High Frequency Seasonal Time Series David A. Dickey source 10
WUSS 2009 Application of Segmented Regression Analysis to the Kaiser Permanente Colorado Critical Drug Interaction Program Nikki M. Carroll source 8
SGF 2009 Simulating Time Series Analysis Using SAS - Part I The Augmented Dickey-Fuller (ADF) Test Ismail E. Mohamed source 7
SGF 2009 Simulating Time Series Analysis Using SAS - Part II Cointegration Ismail E. Mohamed source 8
SGF 2009 Stationarity Testing in High Frequency Seasonal Time Series David A. Dickey source 8
WUSS 2008 Application of Segmented Regression Analysis to the Kaiser Permanente Colorado Critical Drug Interaction Program Nikki M. Carroll source 8
NESUG 2008 Early Detection of Epidemic Outbreaks and Financial Bubbles Using Autoregressive Models with Structural Changes Ernest S. Shtatland,
Timur Shtatland		 15
NESUG 2008 Time Series Analysis Using SAS - Part I - The Augmented Dickey Fuller (ADF) Test Ismail E. Mohamed 6
SGF 2008 Another Look at Low-Order Autoregressive Models in Early Detection of Epidemic Outbreaks and Explosive Behaviors in Economic and Financial Time Series Ernest S. Shtatland source 12
SGF 2008 Data Mining Application of Non-Linear Mixed Modeling in Water Quality Analysis Anpalaki J. Ragavan source 14
NESUG 2007 Low-Order Autoregressive Models in Early Detection of Epidemic Out-breaks and Explosive Behaviors in Economic and Financial Time Series Ernest S. Shtatland 10
WUSS 2007 Time Series Cross Sectional Analysis of Total Nitrogen Concentration in Truckee River, Nevada Using SAS Anpalaki J. Ragavan source 11
SUGI 2006 Modeling Water Quality Trend in Long Term Time Series Anpalaki J. Ragavan,
George C. J. Fernandez		 source 10
MWSUG 2005 Time Dependent Data Exploration And Preprocessing: Doing It All By SAS Joseph Twagilimana 10
NESUG 2005 Using SAS for Cointegration and Error Correction Mechanism Approaches: Estimating a Capital Asset Pricing Model for House Price Returns Ismail E. Mohamed,
Theresa R. DiVenti		 14
SUGI 2005 Stationarity Issues in Time Series Models David A. Dickey source 17
SESUG 2004 Case Studies in Time Series David A. Dickey source 10
SUGI 2003 Case Studies in Time Series David A. Dickey source 9
NESUG 2002 Forecasting with the Time Series Forecasting System in SAS/ETS Charles B. Hallahan 6
NESUG 2001 The Time Series Forecasting System Charles B. Hallahan 6
NESUG 2000 Point & Click Forecasting with the Time Series Forecasting System Charles B. Hallahan 9
SUGI 2000 The Time Series Forecasting System Charles B. Hallahan source 9
SUGI 1999 The Time Series Forecasting System Charles B. Hallahan,
Renee Samy		 source 9
MWSUG 1997 Examining Cointegration Among Time-Series Variables Using Customized SAS Macro: Residual-Based Methods Jun Zuo 8
SESUG 1997 Identifying the Order of Integration of Time-series Data Using Customized SAS Macros: Dickey-Fuller and Augmented Dickey-Fuller Tests Jun Zuo 6
WUSS 1994 A Reassessment of the Monetary Approach to Exchange Rate Determination: A Multivariate Analysis of Difference-Stationary Time Series Victor Gastnaga source 6
SUGI 1984 Preliminary Transformations in Time Series Modeling John C. Brocklebank,
David A. Dickey		 source 6

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