Second Order Hadamard Differentiability in Statistical Applications
A formulation of the second-order Hadamard differentiability of (extended) statistical functionals and some related theoretical results are established. These results are applied to derive the limiting distributions of a class of generalized Cramér-von Mises type test statistics, which include some proposed new ones for the tests of goodness of fit in the 3-sample problems, the tests in linear regression models, and the tests of bivariate independence, as special cases.
Year of publication: |
2001
|
---|---|
Authors: | Ren, Jian-Jian ; Sen, Pranab Kumar |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 77.2001, 2, p. 187-228
|
Publisher: |
Elsevier |
Keywords: | Cramer-von Mises statistic goodness of fit test Hadamard differentiability limiting distribution linear models M-estimator statistical functionals uniform asymptotic linearity weighted empirical processes |
Saved in:
Saved in favorites
Similar items by person
-
On hadamard differentiability of extended statistical functional
Ren, Jian-Jian, (1991)
-
Non-parametrics in bioenvironmental and public health statistics
Sen, Pranab Kumar, (2000)
-
Interactive poverty and affluence of a society : change-point models for structural changes
Sen, Pranab Kumar, (1989)
- More ...