Linear Algebra and Mathematical Statistics (Revised Edition)

Author: Sheng Ju (Compiler)
Publisher:
Publish Date: 2001-01-01
Features: This book is divided into two parts, totaling 11 chapters. Part I covers linear algebra, including matrices, determinants, linear equations, vector spaces, eigenvalues and eigenvectors of matrices, and real quadratic forms. Part II covers mathematical statistics, including basic knowledge of probability theory, distributions of random variables, digital characteristics of random variables, parameter estimation, linear regression analysis, and analysis of variance, among others.