Randomization-based inference in Python
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Updated
Nov 11, 2024 - Python
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.
A toolkit for data analysis and handle data
Supervisor : Dr. Bhaswati Ganguly
Jackknife with R to estimate the bias of a statistic
This code implements the Jackknife resampling algorithm.
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