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proc esm

44 papers and 5 presentations; 45 titles.

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Conference × Year × Title × Authors Extras Pages
SESUG 2024 Forecasting U.S. Unemployment Rates Using ARIMA: A Time Series Analysis from 1948 to 2019 Shanice Douglas source 11
SESUG 2023 Forecasting Goals for Student Success Metrics in Accountability Performance Reporting using SAS Visual Analytics Xiaoying Liu,
Hennadii Balashov		 source 9
PHUSE EU 2022 Harnessing Routinely Generated git, github and Package-specific Metadata to Build a Portal into Open-source Projects [presentation] Mathieu Cayssol,
James Black		 source
video		 18
SGF 2021 Large-scale demand forecasting for e-commerce retailer using SAS Forecast Studio: A Case Study Ajay Kumar Mishra,
Mohak Narkhede,
Padmanabha Chandu Saladi		 source 9
SGF 2020 Forecasting Healthcare Statistics At the Cleveland Clinic Michael Bromley source 10
SGF 2020 Forecasting Made Easy: A Macro to Select an Optimal Exponential Smoothing Model Using SAS Proc ESM [presentation] Bil Westerfield source 8
SGF 2019 The Bayesians are Coming! The Bayesians are Coming! The Bayesians Are Coming to Time Series! Aric LaBarr source 13
SESUG 2018 Forecasting: Something Old, Something New David A. Dickey source 26
SESUG 2018 Understanding Crime Pattern in United States by Time Series Analysis using SAS Tools Soumya Ranjan Kar Choudhury source 6
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 2018 Getting Started with Time Series Models [presentation] Danny R. Modlin source 15
SGF 2018 Scalable Cloud-Based Time Series Analysis and Forecasting Thiago Quirino,
Michael J. Leonard,
Ed Blair		 source 22
SGF 2018 Time Series Feature Extraction Michele A. Trovero,
Michael J. Leonard		 source 18
SESUG 2016 Make the Jump from Business User to Data Analyst in SAS Visual Analytics Ryan Kumpfmilller source 13
SGF 2015 Count Series Forecasting Michael J. Leonard source 14
SGF 2015 Using SAS to Combine Regression and Time Series Analysis on U.S. Financial Data to Predict the Economic Downturn Avinash Kalwani,
Nishant Vyas		 source 6
SGF 2014 Disease Prevention to Reduce New Hampshire Health-Care Claims and Costs: A Data Mining Approach [presentation] Rakesh Karn,
Rom Khattri,
Pradeep Podila,
Linda Schumacher		 source 6
MWSUG 2012 Combined Forecasts: What to Do When One Model Isn't Good Enough Ed Blair,
Michael J. Leonard,
Bruce Elsheimer		 14
WUSS 2012 Automobile Sales Modeling using Granger-Causality Graph with PROC VARMAX in SAS 9.3 Akkarapol Sa-ngasoongsong source 10
SGF 2012 Combined Forecasts: What to Do When One Model Isn't Good Enough Ed Blair,
Michael J. Leonard,
Bruce Elsheimer		 source 14
SGF 2012 Let Oil and Gas Talk to You: Predicting Production Performance Keith R. Holdaway source 12
SGF 2011 Extending SAS High-Performance Forecasting Using User-Defined Models and External Forecasts Udo Sglavo source 9
SGF 2011 Time Series Data Mining with SAS Enterprise Miner Sascha Schubert,
Taiyeong Lee		 source 12
SGF 2010 Applications of PROC ESM in SAS 9.2 Anders Milhøj source 11
SGF 2010 Clinical Trials Simulation: A Publicly Available, Grid-Enabled, GUI-Driven SAS System Peter H. Westfall,
Alex Dmitrienko,
Cynthia DeSouza,
Alin Tomoiaga		 source 13
WUSS 2009 PROC NLP Approach for Optimal Exponential Smoothing Srihari Jaganathan source 9
NESUG 2007 Selecting the Appropriate Outlier Detection Technique for Common Industry Applications Kunal Tiwari,
Krishna Mehta,
Nitin Jain,
Ramandeep Tiwari,
Gaurav Kanda		 5
SESUG 2007 Data Mining and Investigating Treatment Options of Osteomyelitis with MRSA Hamed Zahedi source 9
SGF 2007 Data Mining to Investigate the Prescribing of Medications Longitudinally Mussie A. Tesfamicael source 17
SGF 2007 Methodology for Railway Demand Forecasting Using Data Mining Giovanni M. Viglioni source 11
WUSS 2005 A Journey to Ellis Island: Profiling Historical Immigration Using SAS and JMP Time Series Methods Archie J. Calise,
Joseph E. Earley		 source 6
NESUG 2003 Basic Usage of SAS/ETS' & SAS/STAT' to Forecast Time Series Douglas L. McAllaster 10
SEUGI 2003 SAS Demand Intelligence [presentation] Udo Sglavo source 27
SESUG 2002 Basic Usage of SAS/ETS Software to Forecast a Time Series Douglas L. McAllaster source 10
SESUG 2002 Projecting South Florida County-Level Citrus Acreage Using Time-Series Analysis (SAS Automatic Forecasting System) and Multivariate Analysis (PROC FACTOR) Richard A. March source 5
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
WUSS 1996 SAS Automatic Forecasting Methods in Practice Margery H. Connor source 2
SUGI 1993 Forecasting Methods Mark Little source 13
SEUGI 1992 Automatic Forecasting Menu System Joachim Hefner source 11
SUGI 1992 Analyzing Business and Economics Data with SAS/ETS Software Mark Little source 9
NESUG 1991 Overview of ETS Procedures for Business Forecasting Jeffrey Jarrett 4
SUGI 1991 SAS/ETS Forecasting Application GuI Ege source 10
SUGI 1990 Better Forecasting with SAS/ETS Software Bruce R. Benseman source 4
SUGI 1990 Determining Weight Values for EWMA Control Schemes Using the ARIMA Procedure John C. Brocklebank source 10
SUGI 1987 A SAS/ETS Software Forecasting and Inventory Planning System David Brauer,
Patrick Cardamone		 source 6
SUGI 1983 Using and InterpretingARIMA, X11, FORECAST, andSTATESPACE John C. Brocklebank source 8

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