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autoregressive model

26 papers and 1 presentation; 26 titles.

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Conference × Year × Title × Authors Extras Pages
SGF 2020 Noninvasive Beehive Monitoring through Acoustic Data Using SAS Event Stream Processing and SAS Viya Yuwei Liao source 24
SESUG 2019 The Best of Both Worlds: Forecasting Using Time Series with Inputs David A. Dickey source 19
SGF 2019 The Bayesians are Coming! The Bayesians are Coming! The Bayesians Are Coming to Time Series! Aric LaBarr source 13
SGF 2019 The Best of Both Worlds: Forecasting Using Time Series with Inputs David A. Dickey source 19
PHUSE EU 2017 SAS Visual Data Mining [presentation] Andy Bayliss source 3
SGF 2016 What's the Difference? David A. Dickey source 17
SGF 2015 Analyzing Parking Meter Transactions Using SAS Procedures Anders Milhøj source 12
MWSUG 2014 Use of Social Media Data to Predict Retail Sales Performance Li Zhang 13
SGF 2014 Multivariate Time Series Modeling Using PROC VARMAX Anders Milhøj source 16
SGF 2013 Nontemporal ARIMA Models in Statistical Research David J. Corliss source 10
WUSS 2011 Assessing resource adequacy uncertainty in California electricity summer demand using the MCMC procedure in SAS Enterprise MinerTM Miguel Garcia-Cerrutti source 12
SGF 2011 SAS/ETS and the Nobel Prize David A. Dickey source 14
PNWSUG 2009 SAS Proc STATESPACE and the forecasting of Bureau of Labor Statistics JOLT and Diffusion Index Martin B. Jetton 13
NESUG 2008 Early Detection of Epidemic Outbreaks and Financial Bubbles Using Autoregressive Models with Structural Changes Ernest S. Shtatland,
Timur Shtatland		 15
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
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
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
WUSS 1999 Forecasting Geographic Data Michael J. Leonard,
Renee Samy		 source 7
SUGI 1999 Autoregressive Integrated Moving Average Models for Comparing Forecasted to Actual Values of CPU Workloads for Open Systems Anthony C. Waclawski source 10
SUGI 1993 Forecasting Methods Mark Little source 13
SEUGI 1985 New Features of the SAS/ETS and SAS/OR Software in Version 5 John C. Brocklebank source 37
SUGI 1985 Changes and Enhancements to SAS/ETSSoftware David M. DeLong,
Leigh A. Ihnen,
Mark Little		 source 12
SUGI 1984 Changes and Enhancements to SAS/ETS Procedures David M. DeLong,
Leigh A. Ihnen,
Mark Little		 source 6
SUGI 1984 On the Limitations of Akaike's Information Criterion and Its Use in PROC STATESPACE Jim Chavern source 6
SUGI 1980 Fitting Time Series Using SAS David M. DeLong source 5

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