Randomization-based inference in Python
Generate error bars and perform binning analysis using jackknife or bootstrap resampling. Calculate average and error in quantum Monte Carlo data (or other data) and on functions of averages (such as fluctuations, skew, and kurtosis).
Jackknife resampling, parameter estimation and stability test.
Supervisor : Dr. Bhaswati Ganguly
A toolkit for data analysis and handle data
Jackknife with R to estimate the bias of a statistic
Tools for julia programming of statistical analysis
Jackknife & bootstrap resampling in Fortran with python bindings
Analysis of King County housing data using linear regression and Jackknife+ conformal prediction, with reproducible results and visualizations. This project was done in R.
This code implements the Jackknife resampling algorithm.
Add a description, image, and links to the jackknife-resampling topic page so that developers can more easily learn about it.
To associate your repository with the jackknife-resampling topic, visit your repo's landing page and select "manage topics."