A python library for time-series smoothing and outlier detection in a vectorized way.
Statistical bootstrapping library for Julia
A Javascript implementation of the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) evaluation metric for summaries.
BASM - 2017 Spring
Library for bootstrapping statistics
A MATLAB package for multivariate permutation testing and effect size measurement
This repository is created for storing the components of Statistical Tests of One Pop, Two Pops and Three or more pops using Python.
Calculating robust effect sizes using bootstrap (resampling) technique in R.
The objective of the Project is to predict ‘Full Load Electrical Power Output’ of a Base load operated combined cycle power plant using Polynomial Multiple Regression. Concepts : 1) Clustering, 2) Polynomial Regression, 3) LASSO, 4) Cross-Validation, 5) Bootstrapping
Correlation coefficients with uncertainties
Essential toolkits for working with autoregressive models
Resampling-Based Hypothesis Testing for Python
Master's thesis
about statistical techniques for Data Science
Understand the results of an A/B test run by the website and provide statistical and practical interpretation on the test results
Python module to produce bootstrapped confidence intervals and effect sizes.
A fast implementation of bootstrapping supporting multi-columns data.
Portfolio of personal projects & curriculum from Springboard
Add a description, image, and links to the bootstrapping-statistics topic page so that developers can more easily learn about it.
To associate your repository with the bootstrapping-statistics topic, visit your repo's landing page and select "manage topics."