A robust estimator of the S-Gini index for massive data

Autor:	Laidi Mohamed, Rassoul Abdelaziz
Rok vydání:	2021
Předmět:	Statistics and Probability Index (economics) Nonparametric estimator Empirical likelihood Modeling and Simulation Statistics Robust statistics Statistical hypothesis testing Mathematics
Zdroj:	Communications in Statistics - Simulation and Computation. :1-18
ISSN:	1532-4141 0361-0918
DOI:	10.1080/03610918.2021.1938120
Popis:	In this article, we propose the median-of-means type nonparametric estimator for S-Gini index by using the idea of grouping under the massive data framework, which has been widely used in economics...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b5de8df28b944cfe6f1c3916df882e02 https://doi.org/10.1080/03610918.2021.1938120 Zobrazit plný text záznamu