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Nick (University of Sheffield, UK) Fieller
Basics of Matrix Algebra for Statistics with R [EPUB ebook]

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Copertina di Nick (University of Sheffield, UK) Fieller: Basics of Matrix Algebra for Statistics with R (ePUB)

Covers basic algebraic manipulation of matrices, such as basic arithmetic, inversion, partitioning, rank, determinants, decompositions, eigenanalysis, and Hadamard and Kronecker products

Shows how to implement the techniques in R using worked numerical examples

Describes vector and matrix calculus, including differentiation of scalars and linear and quadratic forms

Incorporates useful tricks, such as identifying rank 1 matrices and scalar subfactors within products

Explains how to convert an optimization problem to an eigenanalysis by imposing a non-restrictive constraint

Presents the derivation of key results in linear models and multivariate methods with step-by-step cross-referenced explanations

Includes numerous theoretical and numerical exercises for self-assessment

€58.69

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Formato EPUB ● Pagine 248 ● ISBN 9781315360058 ● Casa editrice CRC Press ● Pubblicato 2018 ● Scaricabile 3 volte ● Moneta EUR ● ID 6707327 ● Protezione dalla copia Adobe DRM

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