This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
|
341
|
Type:
|
Contributed
|
Date/Time:
|
Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
|
Sponsor:
|
Section on Government Statistics
|
Abstract - #308766 |
Title:
|
Permutation Test for Comparing Zero-Inflated Continuous Distributions
|
Author(s):
|
Jixiang Wu and Lei Zhang+ and William Johnson*+
|
Companies:
|
South Dakota State University and Mississippi State Department of Health and Pennington Biomedical Research Center
|
Address:
|
, , 39215, USA , , 70808, USA
|
Keywords:
|
Permutation ;
Zero-inflated ;
likelihood ratio ;
Wald test ;
central limit theorem
|
Abstract:
|
In this study, the permutation test was used to control the empirical Type I errors and testing powers when using several methods to compare population means when the random variables of interest have zero-inflated exponential distributions. The simulation results indicated that the permutation test can be used to adjust the type I errors for small data sets. Four tests including likelihood ratio, Wald test, central limit theorem, and modified central limit theorem, had the similar type I errors and testing powers for large sample size with and without using the permutation test. Type I errors and test powers can be adjusted by using the permutation test even when inappropriate assumptions are made. Therefore, the permutation test should be a valuable addition to the current statistical methods for comparing population means with underlying zero-inflated data structures.
|
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 2010 program
|
2010 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.