Detecting Departures from Normality [electronic resource] : A Monte Carlo Simulation of a New Omnibus Test Based on Moments / Linda Akel Althouse, William B. Ware and John M. Ferron.
The assumption of normality underlies much of the standard statistical methodology. Knowing how to determine whether a sample of measurements is from a normally distributed population is crucial both in the development of statistical theory and in practice. W. Ware and J. Ferron have developed a new...
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| Format: | Electronic eBook |
| Language: | English |
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[S.l.] :
Distributed by ERIC Clearinghouse,
1998.
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Internet
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| Call Number: |
ED422385
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| ED422385 | Available |