Research Methods in Management Science: Applications of Statistics and Operations Research Optimization

Author: Zhu Shunquan
Publisher:
Publish Date: 2007-02-01
Features: This book discusses the methods of management science research and introduces mathematical statistics, econometrics, multivariate statistics, and operational optimization models and their applications. The book is divided into two parts: The Mathematical Statistics, Econometrics, and Multivariate Statistics section includes common random variable distributions, parameter estimation, hypothesis testing, linear regression, and other common content, as well as econometric model testing, and multivariate statistical analysis such as principal component analysis, factor analysis, cluster analysis, and discriminant analysis, along with their applications. The Operational Optimization section introduces readers to common optimization models and their applications, mainly including linear programming models, integer linear programming models, nonlinear programming models, multi-objective decision-making models, neural network models, and simulation decision-making models and their applications. The book is rich in content, easy to understand, and covers a wide range. It can serve as a textbook or reference book for students of various levels in secondary vocational colleges and universities studying courses such as data, models, and decision-making, quantitative methods for business decision-making, management science, operational research, mathematical statistics, econometrics, and multivariate statistics. It can also be used as a reference for business management personnel engaged in quantitative economic analysis methods. For readers engaged in empirical research in finance, accounting, business management, and other fields, this book is also an excellent textbook and reference.