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Power transformation via multivariate Box–Cox

Author

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  • Charles Lindsey

    (Texas A & M University)

  • Simon Sheather

    (Texas A & M University)

Abstract

We present a new Stata estimation program, mboxcox, that computes the normalizing scaled power transformations for a set of variables. The multivari- ate Box–Cox method (defined in Velilla, 1993, Statistics and Probability Letters 17: 259–263; used in Weisberg, 2005, Applied Linear Regression [Wiley]) is used to determine the transformations. We demonstrate using a generated example and a real dataset. Copyright 2010 by StataCorp LP.

Suggested Citation

  • Charles Lindsey & Simon Sheather, 2010. "Power transformation via multivariate Box–Cox," Stata Journal, StataCorp LP, vol. 10(1), pages 69-81, March.
    • Handle: RePEc:tsj:stataj:v:10:y:2010:i:1:p:69-81
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    References listed on IDEAS

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    1. Velilla, Santiago, 1993. "A note on the multivariate Box--Cox transformation to normality," Statistics & Probability Letters, Elsevier, vol. 17(4), pages 259-263, July.
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    Cited by:

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    2. Zhu, Xuwen & Melnykov, Volodymyr, 2018. "Manly transformation in finite mixture modeling," Computational Statistics & Data Analysis, Elsevier, vol. 121(C), pages 190-208.
    3. Sampson, Gabriel & Hendricks, Nathan P. & Taylor, Mykel R., 2018. "Land Market Valuation of Groundwater Availability," 2018 Annual Meeting, August 5-7, Washington, D.C. 274320, Agricultural and Applied Economics Association.
    4. Melnykov, Volodymyr & Zhu, Xuwen, 2018. "On model-based clustering of skewed matrix data," Journal of Multivariate Analysis, Elsevier, vol. 167(C), pages 181-194.

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    More about this item

    Keywords

    mboxcox; mbctrans; boxcox; regress;
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