JSM 2003 Online Program

Abstract #301150

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Activity Number:	93
Type:	Contributed
Date/Time:	Monday, August 4, 2003 : 8:30 AM to 10:20 AM
Sponsor:	General Methodology
Abstract - #301150
Title:	Exact EDF Goodness-of-fit Test of k-variate Normal Distributions
Author(s):	Khoan Tan Dinh*+
Companies:	U.S. Environmental Protection Agency
Address:	7114 Reservoir Rd., Springfield, VA, 22150-3636,
Keywords:	joint conditional density function ; transformation ; empirical distribution function (EDF) ; goodness-of-fit test
Abstract:	A characterization of k-variate normal distributions based on independent Student's t distribution is given. This characterization is used as a transformation changing a k-variate normal random sample to a sample from a uniform distribution over the interval [0, 1]. Applications to empirical-distribution-function (EDF) goodness-of-fit tests for k-variate normal distributions are considered. The power of the tests at several alternative distributions are estimated by Monte Carlo method.

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