248 Pages
by
Chapman & Hall
244 Pages
by
Chapman & Hall
248 Pages
by
Chapman & Hall
Also available as eBook on:
A Thorough Guide to Elementary Matrix Algebra and Implementation in R Basics of Matrix Algebra for Statistics with R provides a guide to elementary matrix algebra sufficient for undertaking specialized courses, such as multivariate data analysis and linear models. It also covers advanced topics, such as generalized inverses of singular and rectangular matrices and manipulation of... Read more
Introduction. Vectors and Matrices. Rank of Matrices. Determinants. Inverses. Eigenanalysis of Real Symmetric Matrices. Vector and Matrix Calculus. Further Topics. Key Applications to Statistics. Outline Solutions to Exercises. Bibliography. Index.
Biography
Dr. Nick Fieller is a retired senior lecturer in the School of Mathematics and Statistics and an honorary research fellow in archaeology at the University of Sheffield. His research interests include multivariate data analysis and statistical modeling in the pharmaceutical industry, archaeology, and forensic sciences.
