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ZENODO
Software . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2026
License: CC BY
Data sources: Datacite
ZENODO
Software . 2026
License: CC BY
Data sources: Datacite
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wei.series.md.c1.c2.c3: Estimating Reliability of Weibull Components in Series from Masked Data

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 12 Feb 2026Publisher:Zenodo
Authors: Towell, Alexander;

doi: 10.5281/zenodo.18615922 , 10.5281/zenodo.18615921

wei.series.md.c1.c2.c3: Estimating Reliability of Weibull Components in Series from Masked Data

Abstract

R package implementing maximum likelihood estimation of Weibull component parameters in series systems from masked failure data. Implements the methodology from Towell (2023) 'Reliability Estimation in Series Systems'. Handles right-censored system lifetimes and masked component failure causes via candidate sets satisfying identifiability conditions. Provides log-likelihood, score, and Hessian functions along with multiple MLE solvers. Companion paper: https://doi.org/10.5281/zenodo.18615871

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Keywords

reliability, R, maximum likelihood estimation, series systems, Weibull distribution, masked failure data, right-censored data

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average