Matrix Algebra:Theory, Computations, and Applications in Statistics
介绍
【书名】 Matrix Algebra:Theory, Computations, and Applications in Statistics
【作者】James E. Gentle
【出版社】Springer,2007
【版本】第一版
【出版日期】2007
【文件格式】PDF
【文件大小】3.83 MB
【页数】535
【ISBN出版号】978-0-387-70872-0
【资料类别】统计学
【市面定价】无
【扫描版还是影印版】清晰,非扫描,也非影印
【是否缺页】不缺
【关键词】Matrix Algebra,Statistics
【内容简介】Springer Texts in Statistics中的一本新书,可以为以后打下好的基础
【目录】
Preface
Part I Linear Algebra
1 Basic Vector/Matrix Structure and Notation
2 Vectors and Vector Spaces
3 Basic Properties of Matrices
4 Vector/Matrix Derivatives and Integrals
5 Matrix Transformations and Factorizations
6 Solution of Linear Systems
7 Evaluation of Eigenvalues and Eigenvectors
Part II Applications in Data Analysis
8 Special Matrices and Operations Useful in Modeling
9 Selected Applications in Statistics
Part III Numerical Methods and Software
10 Numerical Methods
11Numerical Methods
12 Software for Numerical Linear Algebra
A Notation and Definitions
B Solutions and Hints for Selected Exercises
Bibliography
Index |
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