A Cramér-Rao type lower bound for estimators with values in a manifold
A Cramér-Rao type lower bound for minimum loss unbiased estimators with values in a manifold is derived, and the corresponding notion of efficiency is investigated. A by-product is a generalisation of the concept of covariance of a multivariate statistic to one of a statistic with values in a manifold.
Year of publication: |
1991
|
---|---|
Authors: | Hendriks, Harrie |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 38.1991, 2, p. 245-261
|
Publisher: |
Elsevier |
Keywords: | Cramer-Rao inequality minimum variance unbiased estimation unbiased estimators with values in a manifold Hessian Fisher information covariance efficiency Weingarten map exponential family of probability distributions mean location Fisher-von Mises distributions integral manifold |
Saved in:
Saved in favorites
Similar items by person
-
Healy, Dennis M., (1998)
-
The admissibility of the empirical mean location for the matrix von Mises-Fisher family
Hendriks, Harrie, (2005)
-
Asymptotic behavior of sample mean location for manifolds
Hendriks, Harrie, (1996)
- More ...