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:
|
554
|
|
Type:
|
Invited
|
|
Date/Time:
|
Wednesday, August 3, 2011 : 2:00 PM to 3:50 PM
|
|
Sponsor:
|
Section on Government Statistics
|
| Abstract - #300252 |
|
Title:
|
Resampling Variance Estimation Methods for Decision-Based Stratified Regression Estimates
|
|
Author(s):
|
Eric Victor Slud*+
|
|
Companies:
|
U.S. Census Bureau
|
|
Address:
|
4600 Silver Hill Road , Washington, DC, 20233,
|
|
Keywords:
|
Bootstrap ;
Survey regression ;
Estimation after testing ;
Collapsing Strata
|
|
Abstract:
|
The new design of the Annual Survey of Public Employment and Payroll involves PPS sampling drawn from substrata defined by small and large unit size within strata defined by state and governmental type. Survey estimates of population totals (Cheng, Slud and Hogue 2010) are assembled from stratum and substratum regression estimates after applying a hypothesis test for equality of regression slopes in deciding whether to collapse substrata. This talk describes large-sample theory and moderate-sample implementation for the bootstrap estimation of variance of the resulting survey estimates, under superpopulation models for which regression slopes within substrata are either precisely the same or slightly different.
|
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.