Add to ORKGThis paper contains a large number of matrix identities which cannot be absorbed by mere reading. The reader is encouraged to take time and check each equation by hand and work out the examples. This is advanced material; see Searle (1982) for basic results. 1 Derivative
Matrices offer some of the most powerful techniques in modem mathematics. In the social sciences the...
Matrices: an investigation into the history and a study of some of the theory of matrix algebra, wit...
AbstractMultidimensional scaling, item response theory, and factor analysis may be considered three ...
Matrix algebra is an indispensable tool for data analysis in the social sciences, as it constitutes ...
4 pages, 1 article*Errata for Matrix Algebra Useful for Statistics* (Searle, S. R.) 4 page
Books on linear models and multivariate analysis generally include a chapter on matrix algebra, quit...
7 pages, 1 article*Comments from Thirty Years of Teaching Matrix Algebra to Applied Statisticians* (...
In teaching linear statistical models to first-year graduate students or to final-year undergraduate...
When first published in 2005, Matrix Mathematics quickly became the essential reference book for use...
Matrices are one of the most rapidly advancing fields in the area of mathematics. During the twentie...
AbstractThis paper explores the connections between symbolic matrix derivatives as developed in the ...
Dept. of Mathematics and Statistics. Paper copy at Leddy Library: Theses & Major Papers - Basement, ...
This book enables readers who may not be familiar with matrices to understand a variety of multivari...
10 pages, 1 article*Some Uses of Generalized Inverse Matrices in Statistics* (Searle, S. R.) 10 page
14 pages, 1 article*The Early Use of Matrix Diagonal Increments in Statistical Problems* (Piegorsch,...
Matrices offer some of the most powerful techniques in modem mathematics. In the social sciences the...
Matrices: an investigation into the history and a study of some of the theory of matrix algebra, wit...
AbstractMultidimensional scaling, item response theory, and factor analysis may be considered three ...
Matrix algebra is an indispensable tool for data analysis in the social sciences, as it constitutes ...
4 pages, 1 article*Errata for Matrix Algebra Useful for Statistics* (Searle, S. R.) 4 page
Books on linear models and multivariate analysis generally include a chapter on matrix algebra, quit...
7 pages, 1 article*Comments from Thirty Years of Teaching Matrix Algebra to Applied Statisticians* (...
In teaching linear statistical models to first-year graduate students or to final-year undergraduate...
When first published in 2005, Matrix Mathematics quickly became the essential reference book for use...
Matrices are one of the most rapidly advancing fields in the area of mathematics. During the twentie...
AbstractThis paper explores the connections between symbolic matrix derivatives as developed in the ...
Dept. of Mathematics and Statistics. Paper copy at Leddy Library: Theses & Major Papers - Basement, ...
This book enables readers who may not be familiar with matrices to understand a variety of multivari...
10 pages, 1 article*Some Uses of Generalized Inverse Matrices in Statistics* (Searle, S. R.) 10 page
14 pages, 1 article*The Early Use of Matrix Diagonal Increments in Statistical Problems* (Piegorsch,...
Matrices offer some of the most powerful techniques in modem mathematics. In the social sciences the...
Matrices: an investigation into the history and a study of some of the theory of matrix algebra, wit...
AbstractMultidimensional scaling, item response theory, and factor analysis may be considered three ...