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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/978-1-...
Part of book or chapter of book . 2001 . Peer-reviewed
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https://doi.org/10.1007/0-387-...
Part of book or chapter of book . 1997 . Peer-reviewed
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Projections and Projection Matrices

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 01 Jan 1997 English Publisher:Springer New York
Authors: David A. Harville;

doi: 10.1007/978-1-4613-0181-3_12 , 10.1007/0-387-22677-x_12

Projections and Projection Matrices

Abstract

Projections and projection matrices, which are introduced and discussed in this chapter, are frequently encountered in discourse on linear statistical models related to the estimation of parameters and to the analysis of variance. Their appearance in such discourse can be attributed to their connection to the so-called least squares problem—one long-standing approach to the estimation of the parameters of a linear statistical model is based on “fitting” the model by least squares. Their connection to the least squares problem is described and discussed in Section 12.4.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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