English

Ordering results for random maxima and minima from two dependent Kumaraswamy generalized distributed samples

Statistics Theory 2025-08-21 v1 Statistics Theory

Abstract

Let {X1,,XN1}\{X_{1},\ldots,X_{N_1}\} and {Y1,,YN2}\{Y_{1},\ldots,Y_{N_2}\} be two sequences of interdependent heterogeneous samples, where for i=1,,N1,i=1,\ldots,N_{1}, XiKw-G(x,αi,γi;G)X_{i}\sim \text{Kw-G}(x, \alpha_{i}, \gamma_{i};G) and for i=1,,N2,i=1,\ldots,N_{2}, YiKw-G(x,βi,δi;H),Y_{i}\sim \text{Kw-G}(x, \beta_{i}, \delta_{i};H), where GG and HH are baseline distributions in the Kumaraswamy generalized model and N1N_1 and N2N_2 are two positive integer-valued random variables, independently of XiX_{i}'s and YiY_{i}'s, respectively. In this article, we establish several stochastic orders such as usual stochastic, hazard rate, reversed hazard rate, dispersive and likelihood ratio orders between the random maxima (XN1:N1X_{{N_1}:{N_1}} and YN2:N2Y_{{N_2}:{N_2}}) and the random minima (X1:N1X_{{1}:{N_1}} and X1:N2X_{{1}:{N_2}}), when the sample sizes are different and random (positive).

Keywords

Cite

@article{arxiv.2508.14855,
  title  = {Ordering results for random maxima and minima from two dependent Kumaraswamy generalized distributed samples},
  author = {Sangita Das and Narayanaswamy Balakrishnan},
  journal= {arXiv preprint arXiv:2508.14855},
  year   = {2025}
}
R2 v1 2026-07-01T04:58:44.042Z