Better Articulating Normal Curve Theory for Introductory Mathematical Statistics Students: Power Transformations and Their Back-Transformations

DOI10.1080/00031305.2013.801782OpenAlexW2013858148WikidataQ58130314 ScholiaQ58130314MaRDI QIDQ5877127

Daniel A. Griffith

Publication date: 3 February 2023

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00031305.2013.801782

zbMATH Keywords

Rnormalityexponential random variableBox-Cox power transformation

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (3)

Spatial autocorrelation and unorthodox random 4 variables: the uniform distribution ⋮ Letter to the Editor: Griffith, Daniel A. (2013), "Better Articulating Normal Curve for Introductory Mathematical Statistics Students: Power Transformations," The American Statistician, 67, 157-169 ⋮ Reply

Cites Work

• Using normal quantile plot to select an appropriate transformation to achieve normality
• The Moran coefficient for non-normal data
• Inverse Box\,-\,Cox: the power-normal distribution
• A new family of power transformations to improve normality or symmetry
• Transformations and seasonal adjustment
• The Analysis of Transformed Data
• Remarks on the relation between fractional moments and fractional derivatives of characteristic functions
• An Analysis of Transformations Revisited
• Mathematical Statistics
• MathematicaLaboratories for Mathematical Statistics
• Mathematical Statistics with Applications
• An Analysis of Transformations Revisited, Rebutted
• Fractional Calculus: Integral and Differential Equations of Fractional Order
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