It is generally held that median does not use all sample observations. However, median may be expressed as a weighted arithmetic mean of all sample observations. Some Monte Carlo studies have been conducted to show that the method works perfectly well.

Zellner and Revankar in their paper “Generalized Production Functions†introduced a production function, which was illustrated by fitting the generalized Cobb-Douglas function to the U.S. data for Transportation Equipment Industry. For estimating the production function, they used a...

This paper shows how median may be computed as a weighted arithmetic mean of all sample observations, unlike the conventional method that obtains median as the middle value (odd observations) or a simple mean of the two middlemost values (even observations). Monte Carlo experiments have been...

This paper shows how median may be computed as a weighted arithmetic mean of all sample observations, unlike the conventional method that obtains median as the middle value (odd observations) or a simple mean of the two middlemost values (even observations). Monte Carlo experiments have been...

It is generally held that median does not use all sample observations. However, median may be expressed as a weighted arithmetic mean of all sample observations. Some Monte Carlo studies have been conducted to show that the method works perfectly well.

Zellner and Revankar in their paper “Generalized Production Functions” introduced a production function, which was illustrated by fitting the generalized Cobb-Douglas function to the U.S. data for Transportation Equipment Industry. For estimating the production function, they used a method...