Saved in:
Bibliographic Details
Main Author: Rao, B. L. S. Prakasa
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2407.10111
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866914869989605376
author Rao, B. L. S. Prakasa
author_facet Rao, B. L. S. Prakasa
contents Kotlarski (1978) proved a result on identification of the distributions of independent random variables $X,Y$ and $Z$ from the joint distribution of the bivariate random vector $(U,V)$ where $(U,V)= (\max(X,Z),\max(Y,Z)).$ We extend this result to the case $(U,V)=(\max(X,aZ_1,bZ_2),\max(Y,cZ_1,dZ_2))$ where $X,Y,Z_1,Z_2$ are independent or max-independent random variables, $Z_1$ and $Z_2$ are identically distributed and $a,b,c,d$ are known positive constants.
format Preprint
id arxiv_https___arxiv_org_abs_2407_10111
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On a characterization of probability distribution based on maxima of independent or max-independent random variables
Rao, B. L. S. Prakasa
Probability
62E10
Kotlarski (1978) proved a result on identification of the distributions of independent random variables $X,Y$ and $Z$ from the joint distribution of the bivariate random vector $(U,V)$ where $(U,V)= (\max(X,Z),\max(Y,Z)).$ We extend this result to the case $(U,V)=(\max(X,aZ_1,bZ_2),\max(Y,cZ_1,dZ_2))$ where $X,Y,Z_1,Z_2$ are independent or max-independent random variables, $Z_1$ and $Z_2$ are identically distributed and $a,b,c,d$ are known positive constants.
title On a characterization of probability distribution based on maxima of independent or max-independent random variables
topic Probability
62E10
url https://arxiv.org/abs/2407.10111