Empirically successful transformations from non-gaussian to close-to-gaussian distributions: Theoretical justification
© 2016 by the Mathematical Association of Thailand. All rights reserved. A large number of efficient statistical methods have been designed for a frequent case when the distributions are normal (Gaussian). In practice, many probability distributions are not normal. In this case, Gaussian-based techn...
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| Main Authors: | , , |
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| 格式: | 雜誌 |
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2018
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| 在線閱讀: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85008395342&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55977 |
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| 機構: | Chiang Mai University |