Sequential order statistics from dependent random variables |
| |
Authors: | Mohammad Baratnia |
| |
Affiliation: | Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran |
| |
Abstract: | AbstractThis paper provides an extension for “sequential order statistics” (SOS) introduced by Kamps. It is called “developed sequential order statistics” (DSOS) and is useful for describing lifetimes of engineering systems when component lifetimes are dependent. Explicit expressions for the joint density function, the marginal distributions and the means of DSOS are derived. Under the well known “conditional proportional hazard rate” (CPHR) model and the Gumbel families of copulas for dependency among component lifetimes, some findings are reported. For example, it is proved that the joint density functions of DSOS and SOS have the same structure. Various illustrative examples are also given. |
| |
Keywords: | Estimation Gumbel copula Lifetime models r-out-of-n system Sequential order statistics |
|
|