Empirically successful transformations from non-gaussian to close-to-gaussian distributions: Theoretical justification

• Main Authors: Dumrongpokaphan T., Barragan P., Kreinovich V.
• Format: Journal
• Published: 2017
• Online Access: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85008395342&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/42451
• Institution: Chiang Mai University

© 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...