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isixsigma on MSNNavigating Data Analysis: The Importance of Testing for Normality
Normality refers to how your data fits into a normal distribution. You can find out if your data is uniform by conducting a ...
We study the asymptotic covariance function of the sample mean and quantile, and derive a new and surprising characterization of the normal distribution: the asymptotic covariance between the sample ...
This is a preview. Log in through your library . Abstract An omnibus test of normality is proposed, which has high power against many alternative hypotheses. The test uses a weighted integral of the ...
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