Nick Fieller 
Basics of Matrix Algebra for Statistics with R [EPUB ebook] 

Support

  • 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

€58.36
méthodes de payement
Achetez cet ebook et obtenez-en 1 de plus GRATUITEMENT !
Format EPUB ● Pages 248 ● ISBN 9781315360058 ● Maison d’édition CRC Press ● Publié 2018 ● Téléchargeable 3 fois ● Devise EUR ● ID 6707327 ● Protection contre la copie Adobe DRM
Nécessite un lecteur de livre électronique compatible DRM

Plus d’ebooks du même auteur(s) / Éditeur

48 032 Ebooks dans cette catégorie