Bivariate models from univariate life distributions: a characterization cum modeling approach

Bivariate models from univariate life distributions: a characterization cum modeling approach

0.00 Avg rating0 Votes
Article ID: iaor20052860
Country: United States
Volume: 51
Issue: 5
Start Page Number: 741
End Page Number: 754
Publication Date: Aug 2004
Journal: Naval Research Logistics
Authors:
Keywords: quality & reliability
Abstract:

Bivariate life distribution models are of importance for studying interdependent components. We present a generic approach by introducing a new concept of characterized model instead of a characterized distribution. It strikes a balance between characterization and modeling approaches to eliminate their individual limitations and incorporate their respective strengths. The proposed model, being a characterized one, admits many important properties irrespective of the choice of marginal distributions. The retention of univariate IFR, DFR, IFRA, DFRA, NBU, and NWU class properties in the bivariate setup has been ensured along with some results on series combinations and convolution. No other models, available in the literature, can ensure simultaneous retention of these fundamental and extremely important class properties.

Reviews

Required fields are marked *. Your email address will not be published.