Ordering results of extreme order statistics from multiple-outlier scale models with dependence

12/15/2020
by   Sangita Das, et al.
0

In this paper, we focus on stochastic comparisons of extreme order statistics stemming from multiple-outlier scale models with dependence. Archimedean copula is used to model dependence structure among nonnegative random variables. Sufficient conditions are obtained for comparison of the largest order statistics in the sense of the usual stochastic, reversed hazard rate, star and Lorenz orders. The smallest order statistics are also compared with respect to the usual stochastic, hazard rate, star and Lorenz orders. To illustrate the theoretical establishments, some examples are provided.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/01/2021

Comparisons of Order Statistics from Some Heterogeneous Discrete Distributions

In this paper, we compare extreme order statistics through vector majori...
research
12/06/2019

Ordering properties of the smallest and largest lifetimes in Gompertz-Makeham model

The Gompertz-Makeham distribution, which is used commonly to represent l...
research
02/16/2022

Dependence comparisons of order statistics in the proportional hazards model

Let X_1, … , X_n be mutually independent exponential random variables wi...
research
08/03/2022

Asymptotic relative efficiency of the Kendall and Spearman correlation statistics

A necessary and suffcient condition for Pitman's asymptotic relative eff...
research
12/14/2018

Stochastic comparisons between the extreme claim amounts from two heterogeneous portfolios in the case of transmuted-G model

Let X_λ_1, ... , X_λ_n be independent non-negative random variables belo...

Please sign up or login with your details

Forgot password? Click here to reset