From 69bf61dd9908deb7471ce2362c63419a05da3097 Mon Sep 17 00:00:00 2001 From: Joe Vincent Date: Wed, 12 Jun 2024 20:09:32 -0700 Subject: [PATCH] Update paper.md --- joss/paper.md | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/joss/paper.md b/joss/paper.md index ef3bad3..aad0ce7 100644 --- a/joss/paper.md +++ b/joss/paper.md @@ -14,9 +14,6 @@ affiliations: index: 1 date: 11 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. The binomial distribution represents the likelihood of observing $k$ successes in $n$ trials where the probability of success for each trial is $p$. For example, $p$ may be the probability of a coin flip landing on heads, and $k$ the number of heads we observe after $n$ flips. One often does not know the value of $p$ and wishes to estimate it. A confidence interval is a set, constructed based on $k, n$, that covers the unknown parameter $p$ with some user-specified probability. The binomial_cis package computes confidence intervals that lower and/or upper bound $p$ with a user-specified probability. @@ -57,3 +54,8 @@ Financial support was provided by Toyota Research Institute. # References +--- + + + +