MON (Meadian of meaNs)
Project description
MONarchy module for MON estimators
MONArchy provides :
- estimation functions using MON and derivative methods
- The MONArchy class to call each function on a set of data
Analyse.py
- Analyse : to load data and return a JSON file with estimations and descriptive statistics
exemple :
a = Analyse(path)
print(a.head())
print(a.infos())
a.save_graph("0_0_R","fig.png")
with
path
: the path of a CSV file (string)column_name
: the column name (string)
produce a JSON file with statistical estimators
Changelog
1.0.7
- correct requirements.txt
1.0.6
- add save_graph in Analyse
1.0.5
- add bayesian MoN
Refercences
@article{orenstein_robust_2019, title = {Robust Mean Estimation with the Bayesian Median of Means}, url = {http://arxiv.org/abs/1906.01204}, journaltitle = {{arXiv}:1906.01204 [math, stat]}, author = {Orenstein, Paulo}, urldate = {2021-04-08}, date = {2019-06-04}, eprinttype = {arxiv}, eprint = {1906.01204}, keywords = {Bayesian, Estimators, {MON}, Math, Mathematics - Statistics Theory, Statistics - Methodology}, }
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