| SGF |
2020 |
History Carried Forward, Future Carried Back: Mixing Time Series of Differing Frequencies |
|
source |
14 |
| PharmaSUG |
2019 |
History Carried Forward, Future Carried Back: Mixing Time Series of Differing Frequencies |
|
source |
11 |
| MWSUG |
2018 |
Finding National Best Bid and Best Offer - Quote by Quote |
|
|
6 |
| MWSUG |
2018 |
From Stocks to Flows: Using SAS HASH objects for FIFO, LIFO, and other FO's |
|
|
13 |
| SESUG |
2017 |
Leads and Lags: Static and Dynamic Queues in the SAS DATA STEP, 2nd ed. |
|
source |
15 |
| SGF |
2017 |
From Stocks to Flows: Using SAS HASH objects for FIFO, LIFO, and other FO's |
|
source |
13 |
| SGF |
2017 |
Leads and Lags: Static and Dynamic Queues in the SAS DATA STEP, 2nd ed. |
|
source |
15 |
| SESUG |
2016 |
From Stocks to Flows: Using SAS HASH objects for FIFO, LIFO, and other FO's |
|
source |
12 |
| SESUG |
2016 |
Leads and Lags: Static and Dynamic Queues in the SAS DATA STEP |
|
source |
15 |
| MWSUG |
2016 |
Finding National Best Bid and Best Offer - Quote by Quote |
|
|
9 |
| MWSUG |
2016 |
From Stocks to Flows: Using SAS HASH objects for FIFO, LIFO, and other FO's |
|
|
13 |
| MWSUG |
2016 |
Leads and Lags: Static and Dynamic Queues in the SAS DATA STEP |
|
|
15 |
| MWSUG |
2016 |
Reducing Customer Attrition with Predictive Analytics for Financial Institutions |
Nathaniel Derby |
|
15 |
| SGF |
2016 |
Finding National Best Bid and Best Offer - Quote by Quote |
|
source |
6 |
| SGF |
2016 |
Leads and Lags: Static and Dynamic Queues in the SAS DATA STEP |
|
source |
15 |
| SGF |
2016 |
Reducing Credit Union Member Attrition with Predictive Analytics |
Nathaniel Derby |
source |
15 |
| WUSS |
2015 |
Finding the National Best Bid and Best Offer |
|
source |
6 |
| WUSS |
2015 |
From Stocks to Flows: Using SAS HASH objects for FIFO, LIFO, and other FO's |
|
source |
10 |
| WUSS |
2015 |
Leads and Lags: Static and Dynamic Queues in the SAS DATA STEP |
|
source |
15 |
| WUSS |
2015 |
Reducing Credit Union Member Attrition with Predictive Analytics |
Nathaniel Derby |
source |
15 |
| SGF |
2015 |
Leads and Lags: Static and Dynamic Queues in the SAS DATA STEP |
|
source zip |
14 |
| WUSS |
2014 |
LEADS AND LAGS: HANDLING QUEUES IN THE SAS DATA STEP |
|
source |
12 |
| NESUG |
2013 |
Arrays Plus Data Step Plus Cramer's Rule = Fast Rolling Regresions |
|
|
15 |
| NESUG |
2013 |
Leads and Lags in SAS |
|
|
11 |
| NESUG |
2012 |
Condensed and Sparse Indexes for Sorted SAS Datasets |
|
|
16 |
| NESUG |
2012 |
Rolling Regressions with PROC FCMP and PROC REG |
|
|
13 |
| SESUG |
2011 |
Condensed and Sparse Indexes for Sorted SAS Datasets |
|
source |
16 |
| NESUG |
2011 |
From Stocks to Flows: Using SAS HASH objects for FIFO, LIFO, and other FO's |
|
|
10 |
| NESUG |
2010 |
Condensed and Sparse Indexes for Sorted SAS Datasets |
|
|
16 |
| NESUG |
2010 |
Portfolio Backtesting: Using SAS to Generate Randomly Populated Portfolios for Investment Strategy Testing |
Xuan Liu |
|
7 |
| SGF |
2009 |
A Faster Index for Sorted SAS Datasets |
|
source |
9 |
| NESUG |
2008 |
A Faster Index for Sorted SAS Datasets |
|
|
11 |
| NESUG |
2007 |
Outperforming SAS Indices for Sorted Datasets |
Shuguang Zhang |
|
8 |