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:
|
633
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Thursday, August 4, 2011 : 8:30 AM to 10:20 AM
|
|
Sponsor:
|
Section on Statistics and the Environment
|
| Abstract - #301726 |
|
Title:
|
Statistical Inference Based on Distances Between Empirical Distributions
|
|
Author(s):
|
Dunke Zhou*+ and Tao Shi
|
|
Companies:
|
The Ohio State University and The Ohio State University
|
|
Address:
|
, , ,
|
|
Keywords:
|
AIRS ;
Mallows Distance ;
Multidimensional Scaling ;
Remote Sensing
|
|
Abstract:
|
Atmospheric Infrared Sounder (AIRS), a sensor aboard NASA's Aqua satellite, has been collecting data at 45km ground footprint resolution to generate its Level 2 product with a global coverage. AIRS Level 3 Quantization (L3Q) product summarize valid Level 2 data related with temperatures, water vapor mass-mixing ratios, and cloud fractions in each 5 degree by 5 degree latitude-longitude grid box during a time period by a set of representative vectors and their associated weights, which can be treated as an empirical distribution. We study potential statistical analysis tools using pairwise dissimilarities, such as Multidimensional Scaling(MDS), that are suitable for this untraditional type of data. Finally, MDS is used to analyze AIRS L3Q product collected in December 2009.
|
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.