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Book Chapter

The Multiple Linear Regression Model and Its Extensions

Springer Berlin Heidelberg, (2007), 33-141
DOI: 10.1007/978-3-540-74227-2_3
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Abstract

The main topic of this chapter is the linear regression model with more than one independent variables. The principles of least squares and maximum likelihood are used for the estimation of parameters. We present the algebraic, geometric, and statistical aspects of...

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The Multiple Linear Regression Model and Its Extensions. (2007). In Linear Models and Generalizations (pp. 33–141). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-74227-2_3

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