Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
417393 | Computational Statistics & Data Analysis | 2006 | 20 Pages |
Abstract
The 2-term Edgeworth expansion, or the expansion up to order 1/n1/n, of the distribution of the sample correlation coefficient in nonnormal observations is obtained. For the expansion, the formula of the fourth cumulant of the function of sample variances and covariances of the associated observable variables is given. From a simulation, the partially weighted 2-term Edgeworth expansion is found to give smaller errors than those by the single-term or fully weighted 2-term Edgeworth expansions.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Haruhiko Ogasawara,