| WUSS |
2010 |
PROC MEANS versus PROC SQL for Descriptive Statistics Generation of Weighted Data |
|
source |
9 |
| SGF |
2010 |
Efficient Statistical Programming? Reducing SAS Run Time with WHERE Setup |
|
source |
4 |
| WUSS |
2009 |
Efficient Statistical Programming? - These Small Steps Make the Difference |
|
source |
16 |
| WUSS |
2009 |
Improving Efficiency of Excel Summary Production with SAS Data Steps Prior to PROC DBLOAD Export |
|
source |
10 |
| WUSS |
2008 |
Efficient Statistical Programming? - Let's Work on Those Data Steps First |
|
source |
4 |
| WUSS |
2008 |
Testing Performance of Various Confidence Interval Methods for Non-Normal Means |
|
source |
8 |
| WUSS |
2007 |
How to Avoid Commonly-Seen "Correct but Problematic SAS Programming Pitfalls |
|
source |
7 |
| WUSS |
2006 |
Real-Time Sales Volumes Projection with SAS - A Challenge in Implementing a Data-Based Solution in the Automobile Industry |
|
source |
8 |
| WUSS |
2005 |
Effects of PROC EXPAND Data Interpolation on Time Series Modeling when the Data are Volatile or Complex |
|
source |
7 |
| WUSS |
2004 |
Empirical Investigation of Time Series Frequency Conversion with PROC EXPAND |
|
source |
9 |
| WUSS |
2003 |
Efficient Statistical Programming? Let's Be Creative With Those SAS Steps |
|
source |
7 |
| SUGI |
2003 |
Application of the LOESS Procedure for Monitoring and Detecting Critical Movements in the US Automobile Market |
J. Michael Jay, Tie Gao |
source |
6 |
| WUSS |
2002 |
Comparison of Several SAS Approaches to Mean Imputation for Time Series Data with Missing Data Points |
|
source |
4 |
| SUGI |
2001 |
Efficient Statistical Programming? - Let SAS Do the Work |
|
source |
4 |
| WUSS |
1999 |
SAS Macro Program to Prepare Data Documentation with Tailored Descriptions of Various Variable Types |
|
source |
6 |