A Max–min Model of Random Variables in Bivariate Random Sequences

Loading...
Thumbnail Image

Date

2021

Authors

Bayramoğlu, Ismihan
Gebizlioğlu, Ömer Lütfi

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

Open Access Color

Green Open Access

No

OpenAIRE Downloads

OpenAIRE Views

Publicly Funded

No
Impulse
Average
Influence
Average
Popularity
Average

Research Projects

Journal Issue

Abstract

We introduce a max–min model to bivariate random sequences and applying bivariate binomial distribution in fourfold scheme derive the distributions of associated order statistics in a new model. Some examples for special cases are presented and applications of the results in reliability analysis and actuarial sciences are discussed.

Description

Keywords

Bivariate binomial distribution, Bivariate random sample, Order statistics, Sequence of random variables, Bivariate binomial distribution, Bivariate random sample, Order statistics, Sequence of random variables, Minimax procedures in statistical decision theory, Multivariate distribution of statistics, bivariate binomial distribution, sequence of random variables, order statistics, Order statistics; empirical distribution functions, Random fields, bivariate random sample

Turkish CoHE Thesis Center URL

Fields of Science

0101 mathematics, 01 natural sciences

Citation

WoS Q

Q1

Scopus Q

Q2
OpenCitations Logo
OpenCitations Citation Count
1

Source

Journal of Computational and Applied Mathematics

Volume

388

Issue

Start Page

113304

End Page

PlumX Metrics
Citations

CrossRef : 1

Scopus : 1

Captures

Mendeley Readers : 1

SCOPUS™ Citations

1

checked on Feb 05, 2026

Web of Science™ Citations

1

checked on Feb 05, 2026

Page Views

7

checked on Feb 05, 2026

Downloads

506

checked on Feb 05, 2026

Google Scholar Logo
Google Scholar™
OpenAlex Logo
OpenAlex FWCI
0.16929608

Sustainable Development Goals

SDG data is not available