Introduction

Simo Puntanen (), George P. H. Styan () and Jarkko Isotalo ()
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Simo Puntanen: University of Tampere, School of Information Sciences
George P. H. Styan: McGill University, Department of Mathematics & Statistics
Jarkko Isotalo: University of Tampere, School of Information Sciences

Chapter Chapter 0 in Matrix Tricks for Linear Statistical Models, 2011, pp 1-56 from Springer

Abstract: Abstract Let us start by considering the three scatter plots of Figures 0.1 and 0.2. In Figure 0.1a we have three data points $$ \left(^{x_1}_{y_1}\right), \left(^{x_2}_{y_2}\right), \left(^{x_3}_{y_3}\right),$$ while in Figure 0.2 there are 1000 data points.

Keywords: Random Vector; Orthogonal Projector; Data Matrix; Mahalanobis Distance; Normal Equation (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-10473-2_1

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DOI: 10.1007/978-3-642-10473-2_1

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