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Title: Quality quandaries: Combining engineering and statistics to assess the probability of an event

Our article illustrates how to combine engineering and statistical models and propagate the distributions of model inputs to estimate the probability of an event with uncertainty.
Authors:
 [1] ;  [1] ;  [2]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Weapons Engineering Division
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Statistical Sciences
Publication Date:
Report Number(s):
LA-UR-16-28994
Journal ID: ISSN 0898-2112
Grant/Contract Number:
AC52-06NA25396
Type:
Accepted Manuscript
Journal Name:
Quality Engineering
Additional Journal Information:
Journal Volume: 29; Journal Issue: 3; Journal ID: ISSN 0898-2112
Publisher:
American Society for Quality Control
Research Org:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING
OSTI Identifier:
1352376

Vance, Marion W., Margevicius, Kristen J., and Hamada, M. S.. Quality quandaries: Combining engineering and statistics to assess the probability of an event. United States: N. p., Web. doi:10.1080/08982112.2016.1277244.
Vance, Marion W., Margevicius, Kristen J., & Hamada, M. S.. Quality quandaries: Combining engineering and statistics to assess the probability of an event. United States. doi:10.1080/08982112.2016.1277244.
Vance, Marion W., Margevicius, Kristen J., and Hamada, M. S.. 2017. "Quality quandaries: Combining engineering and statistics to assess the probability of an event". United States. doi:10.1080/08982112.2016.1277244. https://www.osti.gov/servlets/purl/1352376.
@article{osti_1352376,
title = {Quality quandaries: Combining engineering and statistics to assess the probability of an event},
author = {Vance, Marion W. and Margevicius, Kristen J. and Hamada, M. S.},
abstractNote = {Our article illustrates how to combine engineering and statistical models and propagate the distributions of model inputs to estimate the probability of an event with uncertainty.},
doi = {10.1080/08982112.2016.1277244},
journal = {Quality Engineering},
number = 3,
volume = 29,
place = {United States},
year = {2017},
month = {1}
}