Linear Algebra and Matrix Analysis for Statistics (eBook, PDF)

Versandkostenfrei!

Sofort per Download lieferbar

91,95 €

inkl. MwSt.

Jetzt bewerten

Alle Infos zum eBook verschenken

Weitere Ausgaben:

Gebundenes Buch

PAYBACK Punkte

46 °P sammeln!

Assuming no prior knowledge of linear algebra, this self-contained text offers a gradual exposition to linear algebra without sacrificing the rigor of the subject. It presents both the vector space approach and the canonical forms in matrix theory. The book covers important topics in linear algebra that are useful for statisticians, including the concept of rank, the fundamental theorem of linear algebra, projectors, and quadratic forms. It also provides an extensive collection of exercises on theoretical concepts and numerical computations.

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

"... a unique and remarkable book ... has much to offer that is not found elsewhere. ... In Linear Algebra and Matrix Analysis for Statistics, Sudipto Bannerjee and Anindya Roy have raised the bar for textbooks in this genre. For me, this book will be an invaluable resource for my teaching and research. ... an outstanding choice for research-oriented statisticians who want a comprehensive theoretical treatment of the subject that will take them well beyond the prerequisites for the study of linear models."
-Journal of the American Statistical Association, Vol. 110, 2015

"The sixteen chapters cover the full range of topics ... Topics are presented in a logical order and in a reasonable pace. The book is compactly