Modern Statistics and SAS Applications

Author: Hu Liangping
Publisher:
Publish Date: 2002-04-02
Features: This book comprehensively introduces modern statistical analysis methods and their application techniques. Addressing the characteristics of multivariate statistical analysis methods—such as large computational loads and complex algorithms—it uses the SAS software package as a tool for implementing complex statistical computations. It emphasizes various experimental design methods, various statistical analysis methods, their applicable conditions, the technical skills for correctly selecting statistical methods in specific problems, and the proper interpretation and application of computational results. Guided by the principle of starting from actuality, the textbook structure and writing style are reasonably adjusted to group statistical methods for handling the same type of problems together, simplifying what appear to be complex statistical issues and making them more practical and convenient. The book has the following unique features:
- Statistical computations are implemented using both calculators and computers, facilitating readers' choice of tools.
- Statistical methods are taught in an application-oriented and data-driven manner, helping readers improve their comprehensive ability to handle practical problems.
- A wide variety of experimental design types are introduced with detailed explanations, offering strong operational feasibility.
- It provides an effective shortcut for readers to successfully use SAS software.
The content is appropriately selected based on the level of the target audience and the number of teaching hours. This book can serve as a textbook for graduate students, undergraduate students, and vocational/technical college students in statistics. It can also be used as a reference book for teachers, scholars, scientists, biomedical workers, and management professionals in universities, research institutions, and other fields to learn and apply statistical methods. Additionally, it can function as a practical manual for solving statistical problems using SAS software.