| SESUG |
2024 |
Special Control Charts for Rare Events: G-charts and T-charts |
|
source |
15 |
| SESUG |
2022 |
Use of JMP's Prediction Profiler to Predict Outcomes of Acute Spinal Cord Injury |
|
source |
9 |
| SESUG |
2021 |
Using JMP and R Integration to Analyze Virtual Chat Messages during a Coronavirus Pandemic |
|
source |
37 |
| SESUG |
2020 |
Model Comparison of Machine Learning Techniques to detect signs of Penetrating Abdominal and Pelvic Injuries using Base JMP and R Integration |
|
source |
25 |
| SESUG |
2019 |
A Random Forest Example of the Boston Housing Data using the Base SAS and the PROC_R macro in SAS Enterprise Guide |
|
source |
18 |
| SESUG |
2019 |
Comparison Word Clouds Using the %PROC_R macro and Base SAS Interface |
|
source |
13 |
| SESUG |
2019 |
JMP's Visualization Analysis of SESUG Conference Attendance from 2008- 2018 |
|
source |
20 |
| SESUG |
2018 |
Interrelationship Digraphs and Sociograms Using SAS |
|
source |
18 |
| SESUG |
2017 |
Applying JMP's Imaging Analytic Tools to Target Prostate Cancer Tumors that Guide External-Beam Radiation Therapy |
Social Security |
source |
12 |
| SESUG |
2016 |
Exploring JMP's Image Visualization Tools in Medical Diagnostic Applications |
Social Security |
source |
16 |
| SESUG |
2015 |
Text Analytics Using JMP |
Social Security |
source |
14 |
| SESUG |
2013 |
When Little Objective Data Are Available, Find Root Causes and Effects with Interrelationship Digraphs and JMP |
|
source |
13 |
| NESUG |
2012 |
Decision-Making Using the Analytic Hierarchy Process (AHP) and SAS/IML |
|
|
12 |
| SESUG |
2012 |
Decision-Making Using the Analytic Hierarchy Process (AHP) and SAS/IML |
Social Security |
source |
12 |
| SESUG |
2011 |
JMP Analytics Applied in Diagnostic Radiology and Neurosurgery Trauma Research |
|
source |
18 |
| NESUG |
2007 |
Butting Heads on Matched Cohort Analysis Using SAS Software |
|
|
12 |
| SUGI |
1997 |
Response Surface Optimization Using JMP Software |
|
source |
8 |
| NESUG |
1995 |
Setting Domestic Disputes with Designeed Experiments and JMP |
Lucia A. Ward-Alexander |
|
8 |
| SUGI |
1995 |
Settling Domestic Disputes with Designed Experiments and JMP |
Lucia A. Ward-Alexander |
source |
8 |
| SUGI |
1995 |
Use of JMP Software to Optimize Low Temperature Cofired Ceramics Laser Cavity Formation through Design of Experiments |
Brian Hogan, Carl T. Brooks |
source |
8 |
| SUGI |
1994 |
Colored Candies and Base SAS: A Sweet Way to Produce Chi-Square Control Charts Part 1: Tutorial |
Sherry Joyce King |
source |
6 |
| SUGI |
1994 |
Colored Candies and PROC MACONTROL: A Sweet Way to Produce Chi-Square Control Charts Part 2: Statistical Presentation |
Sherry Joyce King |
source |
6 |
| SUGI |
1993 |
Using SAS Software to Identify Critical Variables in the Manufacturing of Hybrid Microelectronics Assemblies |
Brian Hogan, Ingrid Jensen Vaughan |
source |
9 |
| SUGI |
1989 |
Estimating the Minimum Total Error-Squares Weight Parameter for the Geometric Moving Average |
Christine Macklin |
source |
6 |
| SUGI |
1987 |
Generating Sample Sizes for Hypergeometric Sampling. Plans Using SAS Software |
|
source |
5 |
| SUGI |
1986 |
A SAS Macro Which Computes Upper Confidence Limits of the Number of Defective Units in a Lot |
|
source |
4 |
| SUGI |
1985 |
A SAS Routine to Compute Minimum Sample Sizes for Single Attribute Sampling Plans |
|
source |
4 |