Abstract
Formulae for multiple regression are much more compact in matrix notation. Therefore, we shall start off in the next section applying such notation first to simple regression, which we considered in Chapter 1, and then to multiple regression. Alter that. we shall derive formulae for least. squares estimates and present properties of these estimates. These properties will he derived under the Gauss-ldarkov conditions which were presented in Chapter 1 and are essentially restated in Section 2.5.
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© 1990 Springer-Verlag New York Inc.
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Sen, A., Srivastava, M. (1990). Multiple Regression. In: Regression Analysis. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-4470-7_2
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DOI: https://doi.org/10.1007/978-1-4612-4470-7_2
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-8789-6
Online ISBN: 978-1-4612-4470-7
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