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Computer Programs: An Algorithm for Fitting Johnson Transformations to Non-normal Data

Summary: A FORTRAN program which selects the estimated best-fit Johnson transformation for a set of non-normal data is presented. The parameter estimates are computed using sample percentiles and the quality of the fit is assessed using the Shapiro-Wilk test statistic on the transformed data. The estimated transformation with the largest p-value is provided along with the transformed data.

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  • Topics: Statistics
  • Keywords: Statistical methods,Shapiro-Wilk statistic,Johnson curves,Statistics,Non-normality
  • Author: Polansky, Alan M.; Chou, Youn-Min; Mason, Robert L.
  • Journal: Journal of Quality Technology