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Joe-Vincent authored Jun 10, 2024
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---
title: 'binomial_CIs: A Python Package for Optimal Binomial Confidence Intervals'
title: 'binomial_cis: A Python Package for Optimal Binomial Confidence Intervals'
tags:
- Python
- statistics
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affiliations:
- name: Department of Aeronautics and Astronautics, Stanford University
index: 1
date: 10 June 2020
date: 10 June 2024
bibliography: paper.bib
---



# Summary
[binomial_CIs](https://github.com/TRI-ML/binomial_CIs) is a Python package for computing confidence intervals for the probability of success parameter, $p$, of a binomial distribution.
[binomial_cis](https://github.com/TRI-ML/binomial_cis) is a Python package for computing confidence intervals for the probability of success parameter, $p$, of a binomial distribution.



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# Research Usage

binomial_CIs has been used to compute confidence intervals for the probability of task success robot manipulators in simulation and the real world [@vincent2024generalizable].
binomial_cis has been used to compute confidence intervals for the probability of task success robot manipulators in simulation and the real world [@vincent2024generalizable].



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