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Title: An application of a zero-inflated lifetime distribution with multiple and incomplete data sources

In this study, we analyze data sampled from a population of parts in which an associated anomaly can occur at assembly or after assembly. Using a zero-inflated lifetime distribution to fit left-censored and right-censored data as well data from a supplementary sample, we make predictions about the proportion of the population with anomalies today and in the future. Goodness-of-fit is also addressed.
Authors:
 [1] ;  [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Report Number(s):
LA-UR-15-29671
Journal ID: ISSN 0748-8017
Grant/Contract Number:
AC52-06NA25396
Type:
Accepted Manuscript
Journal Name:
Quality and Reliability Engineering International
Additional Journal Information:
Journal Name: Quality and Reliability Engineering International; Journal ID: ISSN 0748-8017
Publisher:
Wiley
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; Bayesian inference; binomial and exponential distribution; goodness-of-fit; left-censored and right-censored data; prediction
OSTI Identifier:
1247679

Hamada, M. S., and Margevicius, K. J.. An application of a zero-inflated lifetime distribution with multiple and incomplete data sources. United States: N. p., Web. doi:10.1002/qre.1972.
Hamada, M. S., & Margevicius, K. J.. An application of a zero-inflated lifetime distribution with multiple and incomplete data sources. United States. doi:10.1002/qre.1972.
Hamada, M. S., and Margevicius, K. J.. 2016. "An application of a zero-inflated lifetime distribution with multiple and incomplete data sources". United States. doi:10.1002/qre.1972. https://www.osti.gov/servlets/purl/1247679.
@article{osti_1247679,
title = {An application of a zero-inflated lifetime distribution with multiple and incomplete data sources},
author = {Hamada, M. S. and Margevicius, K. J.},
abstractNote = {In this study, we analyze data sampled from a population of parts in which an associated anomaly can occur at assembly or after assembly. Using a zero-inflated lifetime distribution to fit left-censored and right-censored data as well data from a supplementary sample, we make predictions about the proportion of the population with anomalies today and in the future. Goodness-of-fit is also addressed.},
doi = {10.1002/qre.1972},
journal = {Quality and Reliability Engineering International},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {2}
}