Bivariate Extended Exponential-Geometric Distributions (Journal article)
Dimitrakopoulou, T./ Adamidis, K./ Loukas, S.
In this article four derivations are presented, for an absolutely continuous bivariate extension of the Extended Exponential-Geometric distribution (EEG) introduced by Adamidis et al. (2005). Three of these derivations are based on "shock models" and one is based on the assumption of a two component system working in a varying environment. Marginal and conditional distributions are obtained and their corresponding survival and hazard functions are calculated. The dependence in the proposed bivariate distributions is evaluated by means of the Pearson correlation coefficient.
|Institution and School/Department of submitter:||Πανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μαθηματικών|
|Keywords:||bivariate geometric distributions,extended exponential-geometric distribution,hazard function,modified extreme value distribution,pearson correlation coefficient,survival function,reliability,extension|
|Link:||<Go to ISI>://000304525100001|
|Publisher:||Taylor & Francis|
|Appears in Collections:||Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά)|
Files in This Item:
|Dimitrakopoulou-2012-Bivariate Extended E.pdf||210.02 kB||Adobe PDF||View/Open Request a copy|
Please use this identifier to cite or link to this item:This item is a favorite for 0 people.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.