Abstract
Transformations of many kinds are used in statistical method and theory including simple changes of unit of measurement to facilitate computation or understanding, and the linear transformations underlying the application and theory of multiple regression and the techniques of classical multivariate analysis. Nevertheless the word transformation in a statistical context normally brings to mind a non-linear transformation (to logs, square roots, etc.) of basic observations done with the objective of simplifying analysis and interpretation. This essay focuses on that aspect.
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Bibliography
Bartlett, M.S. 1947. The use of transformations. Biometrics 3, 39–52.
Bickel, P.J. and Doksum, K.A. 1981. An analysis of transformations revisited. Journal of the American Statistical Association 76, 296–311.
Box, G.E.P. and Cox, D.R. 1964. An analysis of transformations. Journal of the Royal Statistical Society, Series B 26, 211–43.
Box, G.E.P. and Cox, D.R. 1982. An analysis of transformations revisited, rebutted. Journal of the American Statistical Association 77, 209–10.
den Butter, F.A.G. and Verbon, H.A.A. 1982. The specification problem in regression analysis. International Statistical Review 50, 267–83.
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© 1990 Palgrave Macmillan, a division of Macmillan Publishers Limited
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Cox, D.R. (1990). Transformation of Statistical Variables. In: Eatwell, J., Milgate, M., Newman, P. (eds) Econometrics. The New Palgrave. Palgrave Macmillan, London. https://doi.org/10.1007/978-1-349-20570-7_35
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DOI: https://doi.org/10.1007/978-1-349-20570-7_35
Publisher Name: Palgrave Macmillan, London
Print ISBN: 978-0-333-49543-8
Online ISBN: 978-1-349-20570-7
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