- 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
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Format EPUB ● Pages 248 ● ISBN 9781315360058 ● Publisher CRC Press ● Published 2018 ● Downloadable 3 times ● Currency EUR ● ID 6707327 ● Copy protection Adobe DRM
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