The concept of generalized order statistics (GOSs) was introduced as a unified approach to a variety of models of ordered random variables. The purpose of this paper is to investigate condi- tions on the underlying distribution functions and the parameters on which GOSs are based, to establish Shaked-Shanthikumar multivari- ate dispersive ordering of GOSs from one sample and Khaledi-Kochar multivariate dispersive ordering of GOSs from two samples. Some ap- plications are also given.
Chen, J. & Hu, T. (2022). Multivariate Dispersive Ordering of Generalized Order Statistics. Journal of the Iranian Statistical Society, 6(1), 61–75.
MLA
Chen, J., & Hu, T. "Multivariate Dispersive Ordering of Generalized Order Statistics", Journal of the Iranian Statistical Society, 6, 1, 2022, 61–75.
HARVARD
Chen, J., & Hu, T. (2022). 'Multivariate Dispersive Ordering of Generalized Order Statistics', Journal of the Iranian Statistical Society, 6(1), pp. 61–75.
CHICAGO
Chen, J. & Hu, T., "Multivariate Dispersive Ordering of Generalized Order Statistics." Journal of the Iranian Statistical Society, 6 1 (2022): 61–75,
VANCOUVER
Chen J., Hu T. Multivariate Dispersive Ordering of Generalized Order Statistics. JIRSS. 2022;6(1):61–75.
