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Accession Number:
ADP007193
Title:
Estimation in Highly Skewed Data,
Corporate Author:
LOS ALAMOS NATIONAL LAB NM
Report Date:
1992-01-01
Abstract:
The problem of inference for the mean of a highly asymmetric distribution is considered. Even with large sample sizes, usual asymptotics i.e., normal theory give poor answers, and standard modifications, such as higher moment correction factors, provide little help. We attempt to develop diagnostics to indicate when inferences are likely to be valid, and we examine the performance of several modifications to the standard procedure. The problem is illustrated with data from particle physics.
Supplementary Note:
This article is from 'Computing Science and Statistics: Proceedings of the Symposium on Interface Critical Applications of Scientific Computing (23rd): Biology, Engineering, Medicine, Speech Held in Seattle, Washington on 21-24 April 1991,' AD-A252 938, p470-471.
Pages:
0002
File Size:
0.00MB
