Learn the distinctions between simple and stratified random sampling. Understand how researchers use these methods to accurately represent data populations.
Abstract: In this study, we suggested an improved ratio estimator for stratification utilizing an auxiliary variable in simple random sampling. Theoretically, bias ...
Abstract: This paper explores the challenges of applying imbalanced datasets to machine learning models. There is a significant disparity in the quantities of different classes, leading to biases in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results