<P><EM>A Thorough Guide to Elementary Matrix Algebra and Implementation in R</EM></P> <P><STRONG>Basics of Matrix Algebra for Statistics with R</STRONG> provides a guide to elementary matrix algebra sufficient for undertaking specialized courses, such as multivariate data analysis and linear models.
Basics of Matrix Algebra for Statistics with R
โ Scribed by Fieller, Nick
- Year
- 2018
- Tongue
- English
- Leaves
- 240
- Series
- Chapman and Hall/CRC the R Ser
- Edition
- 1st ed
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Front Cover......Page 1
Contents......Page 10
Preface......Page 18
Chapter 1: Introduction......Page 20
Chapter 2: Vectors and Matrices......Page 40
Chapter 3: Rank of Matrices......Page 70
Chapter 4: Determinants......Page 78
Chapter 5: Inverses......Page 90
Chapter 6: Eigenanalysis of Real Symmetric Matrices......Page 102
Chapter 7: Vector and Matrix Calculus......Page 122
Chapter 8: Further Topics......Page 132
Chapter 9: Key Applications to Statistics......Page 162
Bibliography......Page 236
Back Cover......Page 240
๐ SIMILAR VOLUMES
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Clear prose, tight organization, and a wealth of examples and computational techniques make Basic Matrix Algebra with Algorithms and Applications an outstanding introduction to linear algebra. The author designed this treatment specifically for freshman majors in mathematical subjects and upper-leve
Clear prose, tight organization, and a wealth of examples and computational techniques make Basic Matrix Algebra with Algorithms and Applications an outstanding introduction to linear algebra. The author designed this treatment specifically for freshman majors in mathematical subjects and upper-leve