.. image:: images/logo.png ------------------------------------- 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.