Linear Algebra and Matrix Analysis for Statistics (Chapman & Hall/CRC Texts in Statistical Science) - Image 1

£69.99

CRC Press Linear Algebra and Matrix Analysis for Statistics (Chapman & Hall/CRC Texts in Statistical Science)

Name: Linear Algebra and Matrix Analysis for Statistics (Chapman & Hall/CRC Texts in Statistical Science)
Brand: CRC Press
Price: 69.99 GBP
Availability: InStock

Algebra

This is the most expensive it has ever been. Walk away.

£70 today · previous high £70 · all-time low £59

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 602 days • 602 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 602 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £70 (374 days, 62.1%)

Price range: £59 - £70

Price levels: 2 different prices over 602 days

Description

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.

Product Specifications

Brand: CRC Press
Format: hardcover
ASIN: 1420095382
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Algebra
Domain: Amazon UK
Release Date: 06 June 2014
Listed Since: 22 September 2008

Barcode

No barcode data available

CRC Press Linear Algebra and Matrix Analysis for Statistics (Chapman & Hall/CRC Texts in Statistical Science)

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Advanced Linear Algebra (Textbooks in Mathematics)

Matrix Mathematics: A Second Course in Linear Algebra (Cambridge Mathematical Textbooks)

A Modern Introduction to Linear Algebra

Advanced Linear and Matrix Algebra

Lectures on linear algebra

Matrix Theory: Basic Results and Techniques (Universitext)

Advanced Linear Algebra (Textbooks in Mathematics)

Finite-Dimensional Linear Algebra: 59 (Discrete Mathematics and Its Applications)

Applied Linear Algebra and Matrix Methods (Springer Undergraduate Texts in Mathematics and Technology)

Linear Algebra: Pure & Applied

Linear Algebra: Core Topics For The First Course

Linear Algebra With Applications

Linear Algebra: Algorithms, Applications, and Techniques

Advanced Linear and Matrix Algebra

Linear Algebra Done Right (Undergraduate Texts in Mathematics)

Linear Algebra (Textbooks in Mathematics)

Linear Algebra: Vector Spaces and Linear Transformations (Pure and Applied Undergraduate Texts)

Linear Algebra: Algorithms, Applications, and Techniques

Practical Linear Algebra: A Geometry Toolbox (Textbooks in Mathematics)

Basics of Matrix Algebra for Statistics with R (Chapman & Hall/CRC The R Series)

Advanced Linear Algebra for Engineers with MATLAB

Introduction to Matrix Theory

Linear Algebra for Data Science with Python (Chapman & Hall/CRC The Python Series)

Linear Algebra for the Young Mathematician (Pure and Applied Undergraduate Texts)