Elementary linear calculations (vectors and matrices)

Pierre Jolicoeur
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Pierre Jolicoeur: University of Montreal, Department of Biological Science

Chapter Chapter 24 in Introduction to Biometry, 1999, pp 197-212 from Springer

Abstract: Abstract The direct computing methods used in the preceding chapter for the trivariate normal distribution (sections 23.2 to 23.5) are not practical when there are more than two predictor variates. The most efficient manner of carrying out calculations is then based on vector and matrix algebra. Most variates considered in earlier chapters involved a single quantity, known as a scalar. A scalar quantity is generally denoted by an italic letter, such as X = the stature (height) of a human adult = 170 cm .

Keywords: Column Vector; Main Diagonal; Left Inverse; True BASIC; Multiple Discriminant Analysis (search for similar items in EconPapers)
Date: 1999
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DOI: 10.1007/978-1-4615-4777-8_25

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