Accession Number : ADP007193

Title :   Estimation in Highly Skewed Data,

Corporate Author : LOS ALAMOS NATIONAL LAB NM

Personal Author(s) : Pederson, Shane P.

Report Date : 1992

Pagination or Media Count : 2

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.

Descriptors :   *DISTRIBUTION THEORY, CORRECTIONS, DISTRIBUTION, MEAN, MOMENTS, PARTICLES, PHYSICS, STANDARDS.

Subject Categories : Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE