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This content will become publicly available on July 26, 2017

Title: Comparing the reliability of related populations with the probability of agreement

Combining information from different populations to improve precision, simplify future predictions, or improve underlying understanding of relationships can be advantageous when considering the reliability of several related sets of systems. Using the probability of agreement to help quantify the similarities of populations can help to give a realistic assessment of whether the systems have reliability that are sufficiently similar for practical purposes to be treated as a homogeneous population. In addition, the new method is described and illustrated with an example involving two generations of a complex system where the reliability is modeled using either a logistic or probit regression model. Note that supplementary materials including code, datasets, and added discussion are available online.
Authors:
 [1] ;  [2]
  1. Univ. of San Francisco, San Francisco, CA (United States)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
OSTI Identifier:
1304827
Report Number(s):
LA-UR--15-27900
Journal ID: ISSN 0040-1706
Grant/Contract Number:
AC52-06NA25396
Type:
Accepted Manuscript
Journal Name:
Technometrics
Additional Journal Information:
Journal Name: Technometrics; Journal ID: ISSN 0040-1706
Publisher:
Taylor & Francis
Research Org:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org:
DOD; USDOE
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING generalized linear models; reliability; equivalence testing; homogeneity of population characteristics; probability of agreement