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 ...

Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform classical systems on certain tasks. Over the past few decades, researchers ...

Abstract: The class imbalance problem can cause classifiers to be biased toward the majority class and inclined to generate incorrect predictions. While existing studies have proposed numerous ...