The bivariate inverse gaussian distribution: an introduction
Subrahmaniam Kocherlakota · Communication in Statistics- Theory and Methods · 1986
This paper introduces a bivariate generalization of the inverse Gaussian distribution. Basic properties are discussed, including a generalized version of Shuster's result relating the inverse Gaussian distribution to the chi square distribution. Methods of generating random samples from the bivariate populations are suggested. These are exemplified.