Statistical theory, methods, applications, and software calculations

Author: Liu Shunzhong
Publisher:
Publish Date: 2005-09-01
Features: "Theory, Methods, Applications, and Software Computing of Mathematical Statistics" This book combines the principles, methods, calculations, examples, and SPSS software computing of mathematical statistics. Starting from the principles and methods of mathematical statistics, it integrates manual calculation processes with SPSS software computing processes, enabling readers to deeply understand the data processing methods, procedures, and results of SPSS software from a mathematical perspective. The book introduces a large number of nonparametric statistical methods, which are powerful tools for current empirical research in social sciences. This is also a unique feature of the book. The book consists of 11 chapters and two appendices. The first two chapters introduce the basic principles of mathematical statistics, while chapters 3 to 11 cover the frequently used methods of mathematical statistics and their SPSS software computing methods. These include: basic concepts of mathematical statistics, parameter estimation and hypothesis testing, correlation analysis, regression analysis, qualitative data statistical analysis, nonparametric tests, analysis of variance, cluster analysis, canonical correlation analysis, principal component analysis, and factor analysis. This book can serve as a textbook for students of non-mathematics majors, such as economics, statistics, marketing, medicine, psychology, human geography, sociology, and management, at various colleges and universities to learn mathematical statistics and SPSS software. It can also be used as a reference for statisticians, researchers, and a broad range of natural science workers for quantitative analysis in scientific research. At the same time, it can also serve as a reference book for postgraduate and undergraduate students of finance and economics majors at universities to master SPSS statistical analysis methods and software usage.