Some Properties of Total Time on Test and Excess Wealth in Bivariate Cases
Keywords:
Total Time on Test Transform, Excess Wealth Transform, Location Independent Riskier, Copula, Bivariate Aging Classes, NBUT
Abstract
Most of the introduced transformations have many applications in reliability. For example, the total time on test (TTT) and excess wealth (EW) transforms are useful concepts in various fields. This paper presents bivariate TTT and EW transforms. Also, the bivariate location independent riskier (LIR) transform has been considered. In addition, we present the conditions for establishing the TTT transform ordering in the bivariate mode and its relationship with EW order and some stochastic orders. Also, we establish that the bivariate TTT transform order as well as the presentation of the new better than used in bivariate TTT transform class. Finally, we describe the relationship between TTT and EW transforms with aging classes in the bivariate mode.
Published
2025-08-11
How to Cite
Esfahani, M., Amini, M., & Mohtashami Borzadaran, G. R. (2025). Some Properties of Total Time on Test and Excess Wealth in Bivariate Cases. Statistics, Optimization & Information Computing. https://doi.org/10.19139/soic-2310-5070-1648
Issue
Section
Research Articles
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).