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Basics of Matrix Algebra for Statistics with R
ISBN-13:
9781315362311
Veröffentl:
2018
Seiten:
248
Autor:
Nick Fieller
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
2 - DRM Adobe
Sprache:
Englisch
Beschreibung:
Avoiding vector spaces and other advanced mathematics, this book shows how to manipulate matrices and perform numerical calculations in R. It 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 partitioned matrices, for those who want to delve deeper into the subject. The text includes many numerical examples as well as theoretical and numerical exercises.
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.
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