| PharmaSUG |
2025 |
Simulating Optimal Sample Sizes for Canine Jaws Using SAS |
Chary Akmyradov,
Lida Gharibvand |
source |
11 |
| WUSS |
2024 |
Simulating Optimal Sample Sizes for Joyful Canine Jaws Using SAS |
Chary Akmyradov,
Lida Gharibvand |
source |
11 |
| SGF |
2017 |
Revenue Score: Forecasting Credit Card Products with Zero Inflated Beta Regression and Gradient Boosting |
Marc Witarsa,
Paulo Di Cellio Dias |
source |
20 |
| MWSUG |
2016 |
Fitting Complex Statistical Models with PROCs NLMIXED and MCMC |
Robin High |
|
16 |
| MWSUG |
2016 |
Using Animation to Make Statistical Graphics Come to Life |
Jesse M. Pratt |
|
10 |
| SGF |
2016 |
Using Animation to Make Statistical Graphics Come to Life |
Jesse M. Pratt |
source |
10 |
| SGF |
2015 |
Jeffreys Interval for One-Sample Proportion with SAS/STAT Software |
Wu Gong |
source |
7 |
| SGF |
2015 |
The Comparative Analysis of Predictive Models for Credit Limit Utilization Rate with SAS/STAT |
Denys Osipenko,
Jonathan Crook |
source |
19 |
| SGF |
2014 |
Got Randomness? SAS for Mixed and Generalized Linear Mixed Models |
David A. Dickey |
source |
12 |
| SGF |
2014 |
Modeling Loss Given Default in SAS/STAT |
Xiao Yao,
Jonathan Crook,
Galina Andreeva |
source |
9 |
| WUSS |
2013 |
The Impacts of the Canadian Wheat Board Ruling on the North American Malt Barley Markets: Demonstrating a Copula Approach to Data Simulation |
Heidi Schweizer |
source |
8 |
| PHUSE EU |
2013 |
Computation of Cls for Binomial Proportions in SAS and its Practical Difficulties |
Jose Abraham |
source
presentation source |
8 |
| MWSUG |
2013 |
Ideas and Examples in Generalized Linear Mixed Models |
David A. Dickey |
|
12 |
| MWSUG |
2013 |
Statistical Models for Proportional Outcomes |
Wensui Liu,
Kelly Zhao |
|
17 |
| NESUG |
2013 |
How to Handle Binomial Proportion with Zero Frequency |
Tulin Shekar |
|
11 |
| SGF |
2012 |
Inflated Beta Regression: Zero, One, and Everything in Between |
Christopher J. Swearingen,
Maria S. Melguizo,
Zoran Bursac |
source |
11 |
| SCSUG |
2011 |
Statistical comparison of relative proportions of bacterial genetic sequences |
Jose F Garcia-Mazcorro |
source |
19 |
| PHUSE EU |
2011 |
Bayesian hypothesis testing for proportions |
Antonio Nieto,
Javier Gómez |
source
presentation source |
6 |
| SGF |
2011 |
Modeling Percentage Outcomes: The %Beta_Regression Macro |
Christopher J. Swearingen,
Maria S. Melguizo,
Zoran Bursac |
source |
12 |
| NESUG |
2010 |
Multiple Methods in JMP to Interact with R |
Matthew J. Flynn |
|
18 |
| MWSUG |
2010 |
Ideas and Examples in Generalized Linear Mixed Models |
David A. Dickey |
|
12 |
| MWSUG |
2010 |
Using the JMP 9 R Interfaces to Perform Bayesian Analyses: Why, How, and What |
Dave LeBlond |
|
18 |
| SGF |
2010 |
Ideas and Examples in Generalized Linear Mixed Models |
David A. Dickey |
source |
12 |
| SEUGI |
2001 |
The << Net Interest Margin >> of the BBL Bank Controlled, Analysed and Justified using SAS OLAP Solutions [presentation] |
Ida R. Carapelle,
Michael Berton |
source |
30 |
| WUSS |
1998 |
Data Warehouses and Bayesian Analysis - A Match Made by SAS |
Ram Gopalan |
source |
6 |
| SEUGI |
1993 |
Marketing and Using the SAS System in the Computer Audit Environment |
Francois van der Walt |
source |
12 |
| SCSUG |
1991 |
Calculating the Power Function of the Wilcoxon Rank Sum Test in 2xK Tables |
Mark Von Tress |
|
7 |
| SUGI |
1982 |
SAS/GRAPH and the Geometryof Statistical Distributions |
Charles F. Hofacker,
Paul Hoffman |
source |
8 |
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