Title

Non-Parametric Inference for Gini Covariance and its Variants

Document Type

Research Article

Publication Title

Sankhya A

Abstract

We obtain simple non-parametric estimators of Gini-based covariance, correlation and regression coefficients. We then establish the consistency and asymptotic normality of the proposed estimators. We provide an explicit formula for finding the asymptotic variance of the estimators. We also discuss jackknifed versions of the proposed estimators for reducing the bias of the estimators in case of small sample sizes. Finally, we evaluate the finite-sample performance of these estimators through on Monte Carlo simulations from a bivariate Pareto distribution. © 2020, Indian Statistical Institute.

First Page

1

Last Page

18

DOI

10.1007/s13171-020-00218-z

Publication Date

12-2020

Link to Full Text

Share

COinS