Citing reliability in your work
If reliability contributes to a project that leads to a scientific publication, please acknowledge this contribution by citing the DOI 10.5281/zenodo.3938000.
The following reference is using APA:
Reid, M. (2022). Reliability – a Python library for reliability engineering (Version 0.8.2) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.3938000
If you would like to use another referencing style, the details you may need are:
Author: Matthew Reid
Year published: 2022
Title: Reliability – a Python library for reliability engineering
Version: 0.8.2
Platform: Python
Available from: https://pypi.org/project/reliability/
DOI: 10.5281/zenodo.3938000
Note that the version number is constantly changing so please check PyPI for the current version.
If you have used reliability in any published academic work, I would love to hear about it (alpha.reliability@gmail.com). Depending on the usage, I may provide a link to your work below.
Links to articles and papers that have used the Python reliability library:
Reliability Engineering Using Python - by Matthew Reid.
SurPyval: Survival Analysis with Python - by Derryn Knife.
International trade distributions and their relation with random fragmentation processes - by Ricardo Bustos Guajardo. Note that this paper is about Econophysics, not reliability engineering, but it does use the Python reliability library to fit Weibull Distributions to trade data.
Probabilistic characterization of random variables - Phase II - by Javier Alfonso Ochoa Moreno. Note that this article is in Spanish.
A tutorial for reliability engineers: going from scratch to building Weibull Analyses using Python - by Dr Sarah Lukens.
Predictive Modeling of a repairable system using Data Analytics Tool - by Chiranjit Pathak.