Nick Fieller
Basics of Matrix Algebra for Statistics with R
Basics of Matrix Algebra for Statistics with R
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- More about Basics of Matrix Algebra for Statistics with R
A Thorough Guide to Elementary Matrix Algebra and Implementation in R provides a guide to elementary matrix algebra sufficient for undertaking specialized courses, such as multivariate data analysis and linear models, and covers advanced topics such as generalized inverses of singular and rectangular matrices and manipulation of partitioned matrices. It introduces the definition of a matrix and the basic rules of addition, subtraction, multiplication, and inversion, and explores how these concepts arise in statistical techniques. Numerical examples and theoretical and numerical exercises aid readers in assessing their knowledge of the material, and outline solutions at the back of the book enable readers to verify the techniques required and obtain numerical answers.
Format: Paperback / softback
Length: 248 pages
Publication date: 31 March 2021
Publisher: Taylor & Francis Ltd
A Thorough Guide to Elementary Matrix Algebra and Implementation in R provides a comprehensive introduction to matrix algebra for statistics with R, covering basic concepts, advanced topics, and numerical examples. It begins with the definition of a matrix and the basic rules of addition, subtraction, multiplication, and inversion, and then explores determinants, eigenvectors and eigenvalues, and differentiation of linear and quadratic forms with respect to vectors. The book also presents numerical examples that illustrate how to perform calculations by hand and using R, and includes theoretical and numerical exercises of varying levels of difficulty to aid readers in assessing their knowledge of the material. Outline solutions at the back of the book enable readers to verify the techniques required and obtain numerical answers. By avoiding vector spaces and other advanced mathematics, the book prepares readers for higher-level and specialized studies in statistics.
Weight: 372g
Dimension: 155 x 232 x 25 (mm)
ISBN-13: 9780367783457
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