Decision Statistical Analysis

Author: Li Ying
Publisher:
Publish Date: 2005-02-01
Features: This book introduces statistical methods for decision analysis and multi-objective decision-making in an easy-to-understand and accessible manner, covering topics such as decision-making under uncertainty, risk decision-making, decision-making using sample information, multi-objective decision-making, Markov processes, and more. While explaining the basic theories, each method is accompanied by practical application cases. For multi-objective decision-making methods like AHP and Markov processes, relevant software usage instructions are also provided, enabling readers to learn the basic theories while mastering how to apply this knowledge in practice. This book can serve as a textbook for senior undergraduate and graduate students in economics, business, management, and related fields, as well as a reference for teachers and researchers in these areas.