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:
|
608
|
Type:
|
Topic Contributed
|
Date/Time:
|
Thursday, August 4, 2011 : 8:30 AM to 10:20 AM
|
Sponsor:
|
Section on Statistics in Defense and National Security
|
Abstract - #302662 |
Title:
|
Analysis of Reliability Experiments with Random Blocks
|
Author(s):
|
Jennifer Kensler*+ and Laura Freeman and Geoffrey Vining
|
Companies:
|
Virginia Tech and Institute for Defense Analyses and Virginia Tech
|
Address:
|
, , ,
|
Keywords:
|
Reliability ;
Weibull Distribution ;
Random Blocks ;
Regression with Life Data
|
Abstract:
|
Reliability experiments provide important information regarding the life of a product, including how various factors affect product life. Current analyses of reliability data usually assume a completely randomized design. However, raw materials used in experiments are often produced in batches. In some cases one batch may not be large enough to provide materials for the entire experiment and more than one batch must be used. In this case the experiment will not have a completely randomized design, but rather a blocked design. This paper provides a method for analyzing a reliability experiment with random blocks. An illustration of the method is provided using MINITAB.
|
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.