Abstract
Several methods for detecting problem areas were discussed in Chapter 11 and their applications to real data were demonstrated.
This chapter discusses the use of transformations of variables to simplify relationships, to stabilize variances, and to improve normality. Weighted least squares and generalized least squares are presented as methods of handling the problems of heterogeneous variances and lack of independence.
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© 1998 Springer-Verlag New York, Inc.
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(1998). Transformation of Variables. In: Rawlings, J.O., Pantula, S.G., Dickey, D.A. (eds) Applied Regression Analysis. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/0-387-22753-9_12
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DOI: https://doi.org/10.1007/0-387-22753-9_12
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-98454-4
Online ISBN: 978-0-387-22753-5
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