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

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  • 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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Format EPUB ● Seiten 248 ● ISBN 9781315360058 ● Verlag CRC Press ● Erscheinungsjahr 2018 ● herunterladbar 3 mal ● Währung EUR ● ID 6707327 ● Kopierschutz Adobe DRM
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