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 (firstname.lastname@example.org). 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.