Free shipping, no minimum spend, use code FREESHIP - Ends 11:59pm 30th June - T&Cs apply
Track My Order
Help Centre
Likes
My Wish ListsLogin / Join
Booktopia
Australia's local bookstore
Get Free Shipping on orders over $0
Linear Algebra and Matrix Analysis for Statistics - Sudipto Banerjee

Linear Algebra and Matrix Analysis for Statistics

By: Sudipto Banerjee, Anindya Roy

eText | 6 June 2014 | Edition Number 1

At a Glance

eText

$198.00

or 4 interest-free payments of $49.50 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

Linear Algebra and Matrix Analysis for Statistics 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 is as self-contained as possible, assuming no prior knowledge of linear algebra.

The authors first address the rudimentary mechanics of linear systems using Gaussian elimination and the resulting decompositions. They introduce Euclidean vector spaces using less abstract concepts and make connections to systems of linear equations wherever possible. After illustrating the importance of the rank of a matrix, they discuss complementary subspaces, oblique projectors, orthogonality, orthogonal projections and projectors, and orthogonal reduction.

The text then shows how the theoretical concepts developed are handy in analyzing solutions for linear systems. The authors also explain how determinants are useful for characterizing and deriving properties concerning matrices and linear systems. They then cover eigenvalues, eigenvectors, singular value decomposition, Jordan decomposition (including a proof), quadratic forms, and Kronecker and Hadamard products. The book concludes with accessible treatments of advanced topics, such as linear iterative systems, convergence of matrices, more general vector spaces, linear transformations, and Hilbert spaces.

on
Desktop
Tablet
Mobile

You Can Find This eBook In

Non-FictionMathematicsAlgebraProbability & Statistics

More in Algebra

Elementary Algebra : Collins College Outlines - Joan Van Glabek

eBOOK

Elementary Algebra

Collins College Outlines

eBook

RRP $8.99

$8.13

10%
OFF
Learn Calculus with Python - Nick McIntyre

eBOOK

Learn Calculus with Python

eBook

RRP $61.72

$49.38

20%
OFF
Coclass graphs of p-groups - Heiko Dietrich

eTEXT

Coclass graphs of p-groups

eText

$229.00

Excursions in Ring Theory - T. Y. Lam

eTEXT

Excursions in Ring Theory

eText

$129.00

This product is categorised by