## Abstract This is the first of two papers presenting a new mathematical method for modeling bivariate distributions of polymer properties. It is based on the transformation of the infinite mass balances describing the evolution of a twoβdimensional distribution using 2D probability generating fun
Properties of an inverse Gaussian mixture of bivariate exponential distribution and its generalization
β Scribed by Dhaifalla K. Al-Mutairi
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 387 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0167-7152
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β¦ Synopsis
A parametric family of bivariate distributions for describing the lifelengths of a system of two dependent components operating under a common environment, when component conditional lifetime distribution follows Marshall and Olkin's bivariate exponential, and the environment follows an inverse Gaussian distribution, is derived. Further generalization of this family of bivariate joint distributions is presented. Marshall and Olkin's bivariate exponential and the Whitmore and Lee's bivariate distribution are shown to be members of this family. Several properties of the joint distributions and their application in reliability analysis are also investigated.
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