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:
|
630
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Thursday, August 4, 2011 : 8:30 AM to 10:20 AM
|
|
Sponsor:
|
IMS
|
| Abstract - #303125 |
|
Title:
|
Risk-Limiting Election Audits Using Stratified Random Samples
|
|
Author(s):
|
Michael Higgins*+ and Philip Stark and Ronald Rivest
|
|
Companies:
|
University of California at Berkeley and University of California at Berkeley and Massachusetts Institute of Technology
|
|
Address:
|
, , ,
|
|
Keywords:
|
Auditing ;
Elections ;
Stratified random sample ;
0-1 knapsack
|
|
Abstract:
|
Votes in elections are often tallied using machines. The machine counts may differ from what a hand count would show. Risk-limiting audits test the null hypothesis that machine-count outcome differs from the hand-count outcome, regardless of the cause of the difference. For contests that span multiple counties, existing election audit laws--which do not call for risk-limiting audits--typically require each county in the contest to hand count the ballots in a set of precincts selected at random from that county. This is a stratified random sample of precincts; the strata are counties. We show that, for risk-limiting audits using stratified random samples, a conservative P-value can be obtained by solving a 0-1 knapsack problem.
|
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.