Abstract Details
Activity Number:
|
600
|
Type:
|
Contributed
|
Date/Time:
|
Wednesday, August 7, 2013 : 2:00 PM to 3:50 AM
|
Sponsor:
|
Quality and Productivity Section
|
Abstract - #309944 |
Title:
|
Dynamic Calibration Method Using a Dynamic Linear Model Approach
|
Author(s):
|
Edward Boone*+ and Derick Rivers
|
Companies:
|
Virginia Commonwealth University and Virginia Commonwealth University
|
Keywords:
|
Calibration ;
Bayesian Methods ;
Dynamic Linear Models
|
Abstract:
|
Researchers are often interested in real time calibration of measurement instruments. These instruments often vary in their accuracy through time. We propose a Dynamic Calibration Method using the Dynamic Linear Model framework. We consider both the univariate and multivariate calibration case. This framework is applied to calibrating radiometers on satellites measuring quantities about the Earth such as ocean salinity. This work also compares the method to existing real time methods and off-line methods via a simulation study.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2013 program
|
2013 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.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.