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47 papers and 1 presentation; 46 titles.

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Conference × Year × Title × Authors Extras Pages
SGF 2021 Haste Makes Waste: Don't Ruin Your Reputation With Hasty Regression Steven C. Myers source
presentation
sas		 39
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
SGF 2017 Interrupted Time Series Power Calculation using DO Loop Simulations Nigel Rozario,
Andrew McWilliams,
Charity Moore		 source 15
SGF 2017 Optimize My Stock Portfolio! A Case Study with Three Different Estimates of Risk Aric LaBarr source 11
WUSS 2016 Did the Protocol Change Work? Interrupted Time Series Evaluation for Health Care Organizations. Carol Conell,
Alexander C. Flint		 source 14
SGF 2015 SAS Analytics plus Warren Buffett's Wisdom Beats Berkshire Hathaway! Huh? Bruce Bedford source 20
MWSUG 2014 Use of Social Media Data to Predict Retail Sales Performance Li Zhang 13
SGF 2013 Exploring Time Series Data Properties in SAS Aude Pujula,
David Maradiaga,
Hector Zapata		 source 12
SGF 2011 SAS/ETS and the Nobel Prize David A. Dickey source 14
WUSS 2009 Application of Segmented Regression Analysis to the Kaiser Permanente Colorado Critical Drug Interaction Program Nikki M. Carroll source 8
WUSS 2009 Trend Analyses of Health Indicator and Risky Health Behavior Variables in Nevada George C. J. Fernandez,
Moses Anabila		 source 9
SGF 2009 Model Fitting and Data Analyses in SAS/ETS Software Using ODS Statistical Graphics Jan Chvosta,
Mark Little		 source 14
WUSS 2008 Application of Segmented Regression Analysis to the Kaiser Permanente Colorado Critical Drug Interaction Program Nikki M. Carroll source 8
SGF 2007 OLS Regression? Auto-Regression? Dynamic Regression? Rodger Zhang source 12
SESUG 2006 Comparing Time series, Generalized Linear Models and Artificial Neural Network Models for Transactional Data Analysis Joseph Twagilimana source 9
WUSS 2006 Detecting Structural Change Using SAS ETS Procedures Archie J. Calise,
Joseph E. Earley		 source 7
WUSS 2006 Skewness, Multicollinearity, Heteroskedasticity - You Name It, Cost Data Have It! Solutions to Violations of Assumptions of Ordinary Least Squares Regression Model Using SAS Leonor Ayyangar source 7
SUGI 2006 Introduction to SAS Enterprise Guide 4.1 for Statistical Analysis Charles B. Hallahan,
Linda P. Atkinson		 source 22
SESUG 2004 Case Studies in Time Series David A. Dickey source 10
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
SESUG 2002 Basic Usage of SAS/ETS Software to Forecast a Time Series Douglas L. McAllaster source 10
WUSS 2001 Bull or Bear? An Econometric Analysis of The Stock Market Jia L. Wang source 4
WUSS 2000 SAS STAT applications in Econometrics Mathura Thillainathan,
George C. J. Fernandez		 source 10
WUSS 2000 Unemployment and the Money Supply: Estimating Lag Coefficients Using PROC PDLREG Jia L. Wang source 6
WUSS 1999 Directing into the Millennium: Quantifying the Role of the American Director Using SAS Statistical Procedures James D. Ryan source 4
SESUG 1998 Regression with Time Series Errors David A. Dickey 9
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
NESUG 1995 Estimation of Nonlinear Models: A Computational Review D. Das Purkayastha 8
WUSS 1995 An Introduction to ARCH/GARCH Modeling Using the AUTOREG Procedure Donna E. Woodward source 10
SEUGI 1995 Wouldn't it be Good if we Understood what Drives our Claims Kevin Williams source 9
WUSS 1994 SAS in Taming Classical Violations Kamal Shoukry source 3
SUGI 1993 Applying Quality Control to Retail Scanner Data Joseph S. Bartling source 2
SUGI 1993 Forecasting the Volatility of Financial Markets: ARCH/GARCH Models and the AUTOREG Procedure Minbo Kim source
SEUGI 1992 Analysing Business and Economic Data with SAS/ETS Software Georg Morsing source 9
SCSUG 1991 PROC AUTOREG to Forecast With a Time-Series/Cross-Section Autocorrelation Model Neil S. Fleming,
Willy Waks		 16
SUGI 1989 How to Establish a Forecasting System with SASSoftware Joel Fingerman source 10
SUGI 1987 Treatment of Lagged Dependent Regressors and Autocorrelated Errors in SAS/ETS Software Thomas B. Fomby,
Joseph G. Hirschberg		 source 6
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
SEUGI 1985 Test Procedures for Model Selection and Model Validation Wil Velding source 23
SUGI 1985 A Time Series Approach to Modeling Daily Peak Electricity Demands Michael F. Jacob source 6
SUGI 1985 Changes and Enhancements to SAS/ETSSoftware David M. DeLong,
Leigh A. Ihnen,
Mark Little		 source 12

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