MATLAB Mathematical Statistics

Author: Chen Guiming
Publisher:
Publish Date: 2002-03-01
Features: The book is well-organized in content, combining theory with practice and providing numerous application examples summarized by the author. The statistical theories and methods presented are easy to understand and can be applied in real-life situations. This book can serve as a reference textbook and self-study guide for faculty and students in science, engineering, liberal arts, and management disciplines, as well as a valuable resource for researchers and developers working in these fields. The book systematically introduces concepts, theories, and applications of statistical tools, using MATLAB 6.1 as the platform. It covers probability distributions, estimation, hypothesis testing, multivariate statistics, cluster analysis, experimental design, linear and nonlinear models, and their applications in mathematical statistics. The focus of the book is to illustrate various concepts, theories, methods, algorithms, and their implementations in statistical analysis research using MATLAB's statistical toolbox. The book is well-organized, integrates theory with practice, and includes numerous application examples summarized by the author. The statistical theories and methods discussed are easy to understand and have practical applications in daily life. This book can serve as a reference textbook and self-study guide for faculty and students in science, engineering, liberal arts, and management disciplines, as well as a valuable resource for researchers and developers working in these fields.