The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Online Program Home
Abstract Details
Activity Number:
|
124
|
Type:
|
Contributed
|
Date/Time:
|
Monday, July 30, 2012 : 8:30 AM to 10:20 AM
|
Sponsor:
|
Section on Nonparametric Statistics
|
Abstract - #305816 |
Title:
|
Testing for Superiority of Two Regression Curves with Responses Missing at Random
|
Author(s):
|
Xiaoyu Li*+
|
Companies:
|
Michigan State University
|
Address:
|
A413 Wells Hall, East Lansing, MI, 48824, United States
|
Keywords:
|
missing at random ;
nonparametric regression ;
kernel estimator
|
Abstract:
|
This paper considers the problem of testing the equality of two nonparametric regression curves against a one-sided alternatives based on two samples with possibly distinct design and error densities, with responses missing at random. The paper proposes a class of tests using imputation and covariate matching. The asymptotic distributions of these test statistics are shown to be Gaussian under null hypothesis and a class of local alternatives. The consistency of these tests against a large class of fixed alternatives is also established. The paper also includes a simulation study, which assesses the finite sample behavior of a member of this class of tests.
|
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 2012 program
|
2012 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.