#2161. Linearization and variance estimation of the Bonferroni inequality index

July 2026publication date
Proposal available till 28-05-2025
4 total number of authors per manuscript3000 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Statistics and Probability;
Economics and Econometrics;
Places in the authors’ list:
place 1place 2place 3place 4
FreeFreeFreeFree
900 $800 $700 $600 $
Contract №2161.1 Contract №2161.2 Contract №2161.3 Contract №2161.4
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)

Abstract:
The aim of this paper is to address the inference of the Bonferroni index in a finite population framework. The Bonferroni index is linearized by differentiation with respect to the sample indicators which allows for conducting a valid inference. Furthermore, the linearized variables are used to evaluate the effects of the different observations on the Bonferroni and Gini indices. The result demonstrates once for all that the former is more sensitive to the lowest incomes in the distribution than the latter.
Keywords:
Bonferroni; Gini; inequality measures; inference; influence function

Contacts :
0