Some hidden or hard-to-reach populations of interest to researchers are difficult to study with standard statistical methods because there is not a reliable list of members from which samples can be ...

This library employs the statistical resampling method bootstrap to estimate a sampling distribution of a specific statistic from the provided sample of data ...

In machine learning, after we build the predictive models we often evaluate them using different error metrics like accuracy score, confusion matrix, etc. We also ...

This project focuses on applying bootstrap sampling, a powerful resampling method, to improve the evaluation of machine learning models. The project uses the Scikit-learn Breast Cancer Diagnostics ...

Studies on the iteration procedure in double bootstrap method have given a great impact on confidence interval performance. However, the procedure was claimed to be complicated and demand intensive ...

Laboratory of Forest Biometrics, School of Forestry and Natural Environment, Aristotle University of Thessaloniki, Thessalo-niki, Greece. Sampling in forest inventories is usually done by installing ...