Author: James R. Evans, David L. Olson
Publisher:
Publish Date: 2006-06-01
Features: Data, Models, and Decisions (2nd Edition), co-authored by Professor James R Evans of the University of Cincinnati and Professor David L Olson of the University of Nebraska, is a concise and comprehensive textbook on quantitative analysis methods. It covers the fundamental modeling methods of statistics and operations research, emphasizing the practical application of decision-making methods in business and management environments. Specifically, the book has the following features: , Concise and to the point. The 12 chapters cover most of the quantitative analysis methods that MBA and MPA students should master, and even more valuable is that these methods are presented based on the knowledge structure of MBA and MPA students. Second, emphasis on the application of simulation methods. Monte Carlo simulation and system simulation are the essence and innovation of the entire book. During the translation process, the translator tried to use the material in the simulation section of the book for teaching and received very positive feedback. Third, the supporting software is very comprehensive. The book emphasizes data analysis and decision-making modeling using spreadsheets. With powerful analysis tools such as Excel, PHStat, CrystalBall, and TreePlan, all models in the book can be solved. The book focuses on systematically teaching quantitative methods, balancing the application-oriented approach with the necessary mathematical background. Therefore, it is highly suitable as a textbook for MBA and MPA students' courses on data, models, and decisions, as well as a reference book for graduate students in management schools studying quantitative analysis methods, and as a textbook for quantitative analysis training for corporate managers.
Data, Models, and Decisions - (2nd Edition) (Includes CD-ROM)
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