In this chapter we consider an alternative way of coping with nonconstant error variance, namely weighted least squares (WLS).
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Weisberg, S. (2006) Computing Primer for Applied Linear Regression, Third Edition Using R and S-Plus, available at www.stat.umn.edu/alr/Links/RSprimer.pdf.
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Sheather, S.J. (2009). Weighted Least Squares. In: A Modern Approach to Regression with R. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-09608-7_4
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DOI: https://doi.org/10.1007/978-0-387-09608-7_4
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