Applied Statistics: Graduate Mathematics Foundation Course Series Textbook

Author: He Canzhi
Publisher:
Publish Date: 2004-05-01
Features: This book systematically elaborates on the basic concepts, theories, and methods of applied statistics, including topics such as sampling distributions, parameter estimation, hypothesis testing, regression analysis, analysis of variance, orthogonal experiments, and multivariate statistical analysis. Each chapter is accompanied by typical examples, and there are sufficient exercises at the end of each chapter, with answers provided at the back of the book. Readers with knowledge of university-level calculus, elementary probability theory, and linear algebra can study this book from basic to advanced levels. This book serves as a textbook for postgraduate students in science and engineering disciplines taking the "Applied Statistics" course, as well as for undergraduate students in relevant courses in science and engineering. It can also be used as a reference book for scientific workers and engineering technicians learning applied statistical knowledge.