The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Abstract Details
Activity Number:
|
470
|
Type:
|
Contributed
|
Date/Time:
|
Wednesday, August 3, 2011 : 8:30 AM to 10:20 AM
|
Sponsor:
|
Section on Physical and Engineering Sciences
|
Abstract - #301013 |
Title:
|
The Constrained Random Effect Models for Nanoparticle Synthesis in a Supercritical CO2 Process
|
Author(s):
|
Hin Kyeol WOO*+ and Jye Chyi Lu
|
Companies:
|
Georgia Tech and Georgia Tech
|
Address:
|
2202 Druid Hills Reserve Dr NE, ATLANTA, GA, 30329,
|
Keywords:
|
Statistical modeling ;
Computer experiment ;
Generalized linear mixed model ;
Variance component
|
Abstract:
|
This research develops a two-part model for observations from nano-particle fabrication experiments. Since there are certain combinations of process variables resulting to unproductive process outcomes, a logistic model is used to characterize such a process behavior. For the cases with productive outcomes a normal regression serves the second part of the model. Because the data are obtained from computer experiments, random-effects are included in both logistics and normal regression models to describe the potential spatial correlation among data. The likelihood function for this two-part model is complicated and thus the maximum likelihood estimation is intractable. This research studies approximation techniques based on Taylor series extension to simplify the likelihood. An algorithm is developed to find estimates for maximizing the approximated likelihood.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2011 program
|
2011 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.