Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4592023 | Journal of Functional Analysis | 2008 | 32 Pages |
Abstract
We obtain the explicit Karhunen–Loeve decomposition of a Gaussian process generated as the limit of an empirical process based upon independent pairs of exponential random variables. The orthogonal eigenfunctions of the covariance kernel have simple expressions in terms of Jacobi polynomials. Statistical applications, in extreme value and reliability theory, include a Cramér–von Mises test of bivariate independence, whose null distribution and critical values are tabulated.
Related Topics
Physical Sciences and Engineering
Mathematics
Algebra and Number Theory