Bounds for the Weighted Gini Mean Difference of an Empirical Distribution
نویسندگان
چکیده
In the paper, we obtain various bounds for more general weighted Gini mean difference of an empirical distribution, which extend the results of Cerone and Dragomir in [2].
منابع مشابه
Bounds for the r-weighted Gini mean difference of an empirical distribution
Various bounds for the r−weighted Gini mean difference of an empirical distribution are established.
متن کاملExact maximum coverage probabilities of confidence intervals with increasing bounds for Poisson distribution mean
A Poisson distribution is well used as a standard model for analyzing count data. So the Poisson distribution parameter estimation is widely applied in practice. Providing accurate confidence intervals for the discrete distribution parameters is very difficult. So far, many asymptotic confidence intervals for the mean of Poisson distribution is provided. It is known that the coverag...
متن کاملGini's coefficient of mean difference as a measure of adoption speed: theoretical issues and empirical evidence from India
Jansen, H.G.P., 1992. Gini's coefficient of mean difference as a measure of adoption speed: theoretical issues and empirical evidence from India. Agric. Econ., 7: 351-369. This paper represents a variant on the empirical analysis of technological adoption by Griliches. It follows up on previous research regarding the potential of the Gini coefficient of mean difference as a distribution-free me...
متن کاملWeighted f-Gini mean difference for convex and symmetric functions in linear spaces
The concept of weighted f Gini mean di¤ erence for convex and symmetric functions in linear spaces is introduced. Some fundamental inequalities and applications for norms are also provided. 1. Introduction The Gini mean di¤erence of the sample a = (a1; : : : ; an) 2 R is de ned by G (a) = 1 2n2 n X
متن کاملAn Investigation into Income Distribution in Zanjan Province: A Case Study of Rural Households in Abhar County
The present study aims to investigate income distribution in Zanjan Province, for which the statistics of cost-income of the households in rural areas of Abhar County were used. They were available in the Statistical Center of Iran. In order to measure income distribution, the indicators of Lorenz curve, the Gini coefficient, the proportion of high-income groups to low-income groups, as well as...
متن کامل