Small Sample Multivariate Data Analysis Methods and Applications

Author: Zhang Hengxi
Publisher:
Publish Date: 2002-09-01
Features: This book thoroughly reveals the essence and characteristics of small-sample multivariate data, analyzes, compares, validates, and expands the multivariate regression method and modern modeling methods, proposes theories and methods for analyzing small-sample multivariate data, and constructs a complete modeling method system to overcome the difficulties of small-sample multivariate data modeling from different perspectives. The book consists of 8 chapters, including: Introduction, Multivariate Linear Regression Analysis, PartialLeast Squares Regression Analysis, Variance Component Linear Models, Variable Selection and Comprehensive Feature Parameter Models, Bayesian Statistical Analysis Methods, Statistical Learning Theory and Support Vector Machines, and Discussion of Other Analysis Methods. This book is suitable for undergraduate and graduate students in aerospace vehicle design, systems engineering, management science and engineering, quantitative economics, and related fields, as well as for researchers, engineering technicians, and related personnel.