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A Goodness-of-Fit Test for Multivariate Normal Distribution Using Modified Squared Distance
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 Title & Authors
A Goodness-of-Fit Test for Multivariate Normal Distribution Using Modified Squared Distance
Yim, Mi-Hong; Park, Hyun-Jung; Kim, Joo-Han;
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The goodness-of-fit test for multivariate normal distribution is important because most multivariate statistical methods are based on the assumption of multivariate normality. We propose goodness-of-fit test statistics for multivariate normality based on the modified squared distance. The empirical percentage points of the null distribution of the proposed statistics are presented via numerical simulations. We compare performance of several test statistics through a Monte Carlo simulation.
Multivariate normal distribution;goodness-of-fit test;empirical distribution function;modified squared distance;
 Cited by
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