| SESUG |
2023 |
Unobserved Components Models: Applications in Post-COVID Analysis |
David J. Corliss |
source |
10 |
| WUSS |
2018 |
Forecasting: Something Old, Something New |
David A. Dickey |
source |
26 |
| SGF |
2018 |
Forecasting: Something Old, Something New |
David A. Dickey |
source |
26 |
| WUSS |
2012 |
Automobile Sales Modeling using Granger-Causality Graph with PROC VARMAX in SAS 9.3 |
Akkarapol Sa-ngasoongsong |
source |
10 |
| PHUSE EU |
2011 |
Use of early longitudinal viral load as a surrogate to the virologic endpoint in Hepatitis C |
Igwebuike Enweonye |
source presentation source |
12 |
| SGF |
2009 |
An Analysis of Market Shares on the Danish Alcohol Market Using Unobserved Components |
Anders Milhøj |
source |
10 |
| SGF |
2009 |
Structural Analysis of Time Series Using the SAS/ETS UCM Procedure |
Rajesh S. Selukar |
source |
13 |
| SESUG |
2006 |
Comparing Time series, Generalized Linear Models and Artificial Neural Network Models for Transactional Data Analysis |
Joseph Twagilimana |
source |
9 |
| WUSS |
2002 |
Seasonality Detectioh in the Energy Sector Using the SAS System |
Joseph E. Earley, Seid M. Zekavat |
source |
3 |
| SEUGI |
2001 |
Evolution of the Data Warehouse at the Russian Railways [presentation] |
Igor Movchikov |
source |
24 |
| SUGI |
2000 |
Cinema and Seasonality: A SAS System PROC X11 Application |
Joseph E. Earley, Jia L. Wang |
source |
6 |
| MWSUG |
1994 |
Alternative Approaches to Mixed Linear Models |
George W. Pasdirtz |
|
6 |
| SUGI |
1994 |
A Comparison of the GLM, IML, and MIXED Procedures for Use in Spatial Statistical Analyses |
William J. Price, Bahman Shafii |
source |
6 |
| SUGI |
1992 |
Using the ARIMA Procedure in Forecasting the Demand and Utilization of Inpatient Hospital Services |
John J. Hisnanick |
source |
9 |