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20152025
most citedA Theil-like Class of Inequality Measures, its Asymptotic Normality Theory and Applications

1 citations · 2 across the 9 of their papers we have counts for

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9 papers

stat.ME2025

A Jarque-Bera test for skew normal data

Diam Ba, Gorgui Gning, Gandasor Bonyiri Onesiphore Da +2

The skew normal law has been introduced in Azzalin (1985) as an alternative to adjusting asymmetric data that share important patterns with the normal law. It has been extensively…

stat.ME2019

A multinomial Asymptotic Representation of Zenga's Discrete Index, its Influence Function and Data-driven Applications

Tchilabalo Abozou Kpanzou, Diam Ba, Cherif Moctar Mamadou Traoré +1

In this paper, we consider the Zenga index, one of the most recent inequality index. We keep the finite-valued original form and address the asymptotic theory. The asymptotic norma…

stat.ME2018

On the influence function for the Theil-like class of inequality measures

Tchilabalo Abozou Kpanzou, Diam Ba, Pape Djiby Mergane +1

On one hand, a large class of inequality measures, which includes the generalized entropy, the Atkinson, the Gini, etc., for example, has been introduced in Mergane and Lo (2013).…

stat.ME2018★ 1 cited

A Theil-like Class of Inequality Measures, its Asymptotic Normality Theory and Applications

Pape Djiby Mergane, Tchilabalo Abozou Kpanzou, Diam Ba +1

In this paper, we consider a coherent theory about the asymptotic representations for a family of inequality indices called Theil-Like Inequality Measures (TLIM), within a Gaussian…

stat.ME2017★ 1 cited

Divergence Measures Estimation and Its Asymptotic Normality Theory Using Wavelets Empirical Processes

Gane Samb Lo, Amadou Diadié Ba, Diam Ba

In this paper we provide the asymptotic theory of the general of -divergences measures, which includes the most common divergence measures : Renyi and Tsallis families and the K…

math.ST2016

Uniform in bandwidth consistency for the transformation kernel estimator of copulas

Cheikh Tidiane Seck, Diam Ba, Gane Samb Lo

In this paper we establish the uniform in bandwidth consistency for the transformation kernel estimator of copulas introduced in [Omelka et al.(2009)]. To this end, we first prove…