MARATTO

article · Mathematica Slovaca

Extropy and statistical features of dual generalized order statistics’ concomitants arising from the Sarmanov family

20243 citationsZagazig University

Abstract

Abstract In this study, we disclose several statistical properties of concomitants of dual generalized order statistics (DGOSs) under a generic setting from the Sarmanov family of bivariate distributions. For this family, cross-moments and joint distributions of concomitants of DGOSs are explored. These results' implications for order statistics and record values are examined. Extropy and cumulative residual extropy (CRE), two well-known information measures, are also investigated. This study offers a few beautiful symmetrical relationships that these inaccuracy measurements satisfy. In addition, based on the concomitants of DGOSs, the issue of estimating the negative cumulative residual extropy (NCRE), empirical NCRE and NCE are investigated using the empirical technique. Lastly, a set of bivariate data from the real world is examined.

Research topics

  • Statistical Distribution Estimation and Applications
  • Financial Risk and Volatility Modeling
  • Bayesian Methods and Mixture Models

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.1515/ms-2024-0095

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.