TY - CHAP
M1 - Book, Section
TI - A Brief Introduction to Matrices and Vectors
A1 - Glantz, Stanton A.
A1 - Slinker, Bryan K.
A1 - Neilands, Torsten B.
PY - 2017
T2 - Primer of Applied Regression and Analysis of Variance, 3e
AB - Modern regression and related methods have been developed using notation and concepts of matrix algebra. Indeed, many of the underlying theoretical results could not have been developed without matrix algebra. Although we have, as much as possible, developed most of the concepts in this book without resorting to matrix notation, some of the more advanced topics require presenting the equations in matrix notation. In addition, most of the results associated with multiple regression and related topics can be presented more compactly and simply using matrix notation. This appendix reviews the basic definitions and notation necessary to understand the use of matrices in this book. We will concentrate on notational, as opposed to computational or theoretical, issues because computers take care of the computations and there are many excellent books on the theory of linear algebra for those who would like to understand linear algebra in more detail.
SN -
PB - McGraw-Hill Education
CY - New York, NY
Y2 - 2022/08/07
UR - accessbiomedicalscience.mhmedical.com/content.aspx?aid=1141896887
ER -