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An information approach to optimal spacings for estimation in location-scale models.
Author(s):
1. Dale Umbach: Department of Mathematical Sciences Ball State University Muncie. IN 47306, USA
Abstract:
In this paper, we consider the problem of simultaneous estimation of location and scale parameters based on a fixed number, say k, of order statistics from a random sample of size n. An asymptotic expression for the information matrix is obtained based on the spacing O
Page(s): 81-91
DOI: DOI not available
Published: Journal: Pakistan Journal of Statistics, Volume: 20, Issue: 1, Year: 2004
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