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Weighted Least Squares

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Book cover A Modern Approach to Regression with R

Part of the book series: Springer Texts in Statistics ((STS))

In this chapter we consider an alternative way of coping with nonconstant error variance, namely weighted least squares (WLS).

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Notes

  1. 1.

    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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Authors and Affiliations

  1. Department of Statistics, Texas A&M University, College Station, TX, USA

    Simon J. Sheather

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  1. Simon J. Sheather
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© 2009 Springer Science+Business Media, LLC

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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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