Randomization-based inference in Python
python bootstrap confidence-intervals jackknife resample permutation-test jackknife-resampling bootstrap-samples
- Updated
- Python
#
jackknife-resampling
Here are 10 public repositories matching this topic...
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).
bootstrap jackknife quantum-monte-carlo error-analysis qmc bootstrap-resampling jackknife-resampling binning-analysis
- Updated
- Python
Jackknife resampling, parameter estimation and stability test.
- Updated
- Python
A toolkit for data analysis and handle data
- Updated
- C++
Supervisor : Dr. Bhaswati Ganguly
- Updated
- R
Jackknife & bootstrap resampling in Fortran with python bindings
- Updated
- Python
Tools for julia programming of statistical analysis
bootstrap julia julia-language error jackknife bootstrap-resampling linear-fitting jackknife-resampling
- Updated
- Julia
Analysis of King County housing data using linear regression and Jackknife+ conformal prediction, with reproducible results and visualizations. This project was done in R.
- Updated
- HTML
Jackknife with R to estimate the bias of a statistic
- Updated
- R
This code implements the Jackknife resampling algorithm.
statistics julia statistical-analysis scientific-computing numerical-methods jackknife jackknife-resampling
- Updated
- TeX
Improve this page
Add a description, image, and links to the jackknife-resampling topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the jackknife-resampling topic, visit your repo's landing page and select "manage topics."