Hostname: page-component-cd9895bd7-7cvxr Total loading time: 0 Render date: 2024-12-18T07:54:12.371Z Has data issue: false hasContentIssue false

Non-Comparability with respect to the convex transform order with applications

Published online by Cambridge University Press:  23 November 2020

Idir Arab*
Affiliation:
University of Coimbra
Milto Hadjikyriakou*
Affiliation:
University of Central Lancashire
Paulo Eduardo Oliveira*
Affiliation:
University of Coimbra
*
*Postal address: CMUC, Department of Mathematics, University of Coimbra, PO Box 3008, EC Santa Cruz, Coimbra, Portugal. Email address: [email protected]
**Postal address: School of Sciences, 12–14 University Avenue, Pyla, 7080 Larnaka, Cyprus.
*Postal address: CMUC, Department of Mathematics, University of Coimbra, PO Box 3008, EC Santa Cruz, Coimbra, Portugal. Email address: [email protected]

Abstract

In the literature of stochastic orders, one rarely finds results characterizing non-comparability of random variables. We prove simple tools implying the non-comparability with respect to the convex transform order. The criteria are used, among other applications, to provide a negative answer for a conjecture about comparability in a much broader scope than its initial statement.

Type
Research Papers
Copyright
© Applied Probability Trust 2020

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Arab, I. and Oliveira, P. E. (2018). Iterated failure rate monotonicity and ordering relations within Gamma and Weibull distributions: Corrigendum. Prob. Eng. Inf. Sci. 32, 640641.10.1017/S0269964818000372CrossRefGoogle Scholar
Arab, I. and Oliveira, P. E. (2019). Iterated failure rate monotonicity and ordering relations within Gamma and Weibull distributions. Prob. Eng. Inf. Sci. 33, 6480.10.1017/S0269964817000481CrossRefGoogle Scholar
Arab, I., Hadjikyriakou, M. and Oliveira, P. E. (2019). On a conjecture about the comparability of parallel systems with respect to convex transform order. Preprint, Pré-Publicações do Departamento de Matemática da Universidade de Coimbra, 19-01.Google Scholar
Arab, I., Hadjikyriakou, M. and Oliveira, P. E. (2020). Failure rate properties of parallel systems. Adv. Appl. Prob. 52, 563–587.10.1017/apr.2020.6CrossRefGoogle Scholar
Arriaza, A., Di Crescenzo, A., Sordo, M. A. and Suárez-Llorens, A. (2019). Shape measures based on the convex transform order. Metrika 82, 99124.10.1007/s00184-018-0667-yCrossRefGoogle Scholar
Bingham, N. H., Goldie, C. M. and Teugels, J. L. (1989). Regular Variation. Cambridge University Press.Google Scholar
Kochar, S. C. and Weins, D. P (1987). Partial orderings of life distributions with respect to their aging properties. Naval Res. Logistics 34, 823829.Google Scholar
Kochar, S. C. and Xu, M. (2009). Comparisons of parallel systems according to the convex transform order. J. Appl. Prob. 46, 342352.10.1017/S0021900200005490CrossRefGoogle Scholar
Kochar, S. C. and Xu, M. (2011). On the skewness of order statistics in multiple-outlier models. J. Appl. Prob. 48, 271284.10.1017/S0021900200007762CrossRefGoogle Scholar
Kotz, S., Balakrishnan, N. and Johnson, N. L. (2000). Continuous Multivariate Distributions. Wiley, New York.10.1002/0471722065CrossRefGoogle Scholar
Marshall, A. W. and Olkin, I. (2007). Life Distributions. Springer, New York.Google Scholar
Shaked, S. and Shanthikumar, J. G. (2007). Stochastic Orders. Springer, New York.10.1007/978-0-387-34675-5CrossRefGoogle Scholar
van Zwet, W. R. (1964). Convex Transformations of Random Variables (Mathematical Centre Tracts 7). Matematisch Centrum, Amsterdam.Google Scholar