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

Journal Article · · Technometrics
 [1];  [2]
  1. Univ. of San Francisco, San Francisco, CA (United States)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
+ Show Author Affiliations

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.

Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOD; USDOE
Grant/Contract Number:
AC52-06NA25396
OSTI ID:
1304827
Report Number(s):
LA-UR-15-27900
Journal Information:
Technometrics, Journal Name: Technometrics; ISSN 0040-1706
Publisher:
Taylor & FrancisCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 10 works
Citation information provided by
Web of Science

References (14)

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Generic Drugs: Therapeutic Equivalence journal January 1996
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Equivalence and Noninferiority Tests for Quality, Manufacturing and Test Engineers journal October 2014
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Logistic Regression book October 2013
Generalized Linear Models journal December 2000
Generic Drugs reference-book January 2009
Logistic Regression book October 2018
Generic Drugs book January 2004
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Logistic Regression book January 2009

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How to Host An Effective Data Competition: Statistical Advice for Competition Design and Analysis
  • Anderson‐Cook, Christine M.; Myers, Kary L.; Lu, Lu
  • Statistical Analysis and Data Mining: The ASA Data Science Journal, Vol. 12, Issue 4 https://doi.org/10.1002/sam.11404
journal February 2019
Bayesian probability of agreement for comparing the similarity of response surfaces journal April 2019
Bayesian probability of predictive agreement for comparing the outcome of two separate regressions: Bayesian probability of predictive agreement for comparing the outcome of two separate regressions
  • Stevens, Nathaniel T.; Rigdon, Steven E.; Anderson-Cook, Christine M.
  • Quality and Reliability Engineering International, Vol. 34, Issue 6 https://doi.org/10.1002/qre.2284
journal April 2018

Linked Research (3)

Figures / Tables (7)

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Related Subjects

97 MATHEMATICS AND COMPUTING
generalized linear models
reliability
equivalence testing
homogeneity of population characteristics
probability of agreement