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Basics of matrix algebra for statistics with R /

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Bibliographic Details
Main Author: Fieller, N. R. J. (Author)
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Published: Boca Raton : CRC Press, Taylor & Francis Group, [2016]
Series:Chapman & Hall/CRC the R series (CRC Press)
Subjects:
Mathematical statistics > Data processing.
Matrices > Data processing.
R (Computer program language)
Statistique mathématique > Informatique.
Matrices > Informatique.
R (Langage de programmation)
MATHEMATICS > Probability & Statistics > General.
R.
Mathematical statistics > Data processing
Matrices > Data processing
Statistik
R > Programm
Statistique mathématique.
Matrices.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Abstract:A Thorough Guide to Elementary Matrix Algebra and Implementation in R. Basics of Matrix Algebra for Statistics with R provides a guide to elementary matrix algebra sufficient for undertaking specialized courses, such as multivariate data analysis and linear models. It also covers advanced topics, such as generalized inverses of singular and rectangular matrices and manipulation of partitioned matrices, for those who want to delve deeper into the subject.
Item Description:"A Chapman & Hall Book."
Physical Description:1 online resource (xviii, 226 pages)
Bibliography:Includes bibliographical references and index.
ISBN:9781498712385
149871238X
9781315370200
1315370204