New estimators revolutionize variance estimation, outperforming existing methods.
The article introduces new ways to estimate population variance using information on midrange and inter decile range of a related variable. The researchers suggest a range of estimators and analyze their bias and accuracy. They show that their estimators outperform existing ones, especially in extreme cases, through both theoretical analysis and real-world testing.