BASICS OF MATRIX ALGEBRA FOR STATISTICS WITH R

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Libro del gran escritor NICK FIELLER , 2015 autor de 248 paginas completamente en español y traducidas a diferentes idiomas de la mano de la editorial y distribuidora PRODUCTIVITY PRESS sobre el genero Ciencias Políticas y Sociales titulado BASICS OF MATRIX ALGEBRA FOR STATISTICS WITH R, disponible en varios formatos como epub o PDF listos para leer. 9781498712361

Sinopsis y resumen del libro BASICS OF MATRIX ALGEBRA FOR STATISTICS WITH R

A Thorough Guide to Elementary Matrix Algebra and Implementation in R Basics of Matrix Algebra for Statistics with R provides an elementary matrix algebra guide sufficient for specialized courses, such as multivariate data analysis and linear models.

It also covers advanced topics, such as generalized inversions of single and rectangular matrices and the manipulation of partitioned matrices, for those who want to delve deeper into the subject.

The book presents the definition of a matrix and the basic rules of addition, subtraction, multiplication and inversion.

Later topics include determinants, calculation of eigenvectors and eigenvalues, and differentiation of linear and quadratic shapes from vectors.

The text explores how these concepts arise in statistical techniques, including analysis of major components, canonical correlation analysis, and linear modeling.

In addition to the algebraic manipulation of matrices, the book presents numerical examples that illustrate how to perform calculations by hand and using R. Many theoretical and numerical exercises of different difficulty levels help readers assess their knowledge of the material.

The schematic solutions on the back of the book allow readers to verify the required techniques and obtain numerical answers.

Avoiding vector spaces and other advanced mathematics, this book shows how to manipulate matrices and perform numerical calculations in R. It prepares readers for higher studies and specialized in statistics.

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