Open Access Open Access  Restricted Access Subscription or Fee Access

Fisher Information of Dependence in Progressive Type II Censored Order Statistics and Their Concomitants

Tugba Ozkal Yildiz, Burcu Hudaverdi Ucer

Abstract



In this paper, we study on Fisher information (FI) of the dependence parameter for bivariate Farlie-Gumbel-Morgenstern (FGM) copula model in progressive type II censored order statistics and their concomitants. We provide the joint distribution of rth progressive type II censored order statistics and its concomitant. Then, the explicit expression of FI for the FGM model is obtained. The relative information of the dependence parameter based on progressive type II censored order statistics and their concomitants and i.i.d. case are compared. Some numerical results and comparative graphs for the corresponding FI with different censoring schemes are provided for the bivariate FGM copula.

Keywords


Fisher Information, Concomitants, Progressive type II censored order statistics, FGM copula

Full Text:

PDF

Refbacks

  • There are currently no refbacks.


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.