【Statistics for Management and Economics】Gerald Keller2011 | ISBN: 1111527326 | 816 pages
This worldwide best-selling business statistics book teaches readers how to apply statistics to real-world business problems through the author's unique three-step approach to problem solving. Readers learn to IDENTIFY the right technique by focusing on the problem objective and data type. They then learn to COMPUTE the statistics by hand or by using Excel or Minitab. Finally, they INTERPRET the results in the context of the problem. This approach enhances user comprehension as well as practical skills.
【Data Analysis and Decision Making】 S. Christian Albright 2010| ISBN: 0538476125 | Pages: 1080
DATA ANALYSIS AND DECISION MAKING is a teach-by-example approach, learner-friendly writing style, and complete Excel integration focusing on data analysis, modeling, and spreadsheet use in statistics and management science. The Premium Online Content Website (accessed by a unique code with every new book) includes links to the following add-ins: the Palisade Decision Tools Suite (@RISK, StatTools, PrecisionTree, TopRank, RISKOptimizer, NeuralTools, and Evolver); and SolverTable, allowing users to do sensitivity analysis. All of the add-ins is revised for Excel 2007 and notes about Excel 2010 are added where applicable.
【Optimization Modeling with Spreadsheets】Kenneth R. Baker
2011 | ISBN: 0470928638 | 432 pages
Reflects the latest applied research and features state-of-the-art software for building and solving spreadsheet optimization modelsThoroughly updated to reflect the latest topical and technical advances in the field, Optimization Modeling with Spreadsheets, Second Edition continues to focus on solving real-world optimization problems through the creation of mathematical models and the use of spreadsheets to represent and analyze those models. Developed and extensively classroom-tested by the author, the book features a systematic approach that equips readers with the skills to apply optimization tools effectively without the need to rely on specialized algorithms.This new edition uses the powerful software package Risk Solver Platform (RSP) for optimization, including its Evolutionary Solver, which employs many recently developed ideas for heuristic programming. The author provides expanded coverage of integer programming and discusses linear and nonlinear programming using a systematic approach that emphasizes the use of spreadsheet-based optimization tools. The Second Edition also features:Classifications for the various problem types, providing the reader with a broad framework for building and recognizing optimization modelsNetwork models that allow for a more general form of mass balanceA systematic introduction to Data Envelopment Analysis (DEA)The identification of qualitative patterns in order to meaningfully interpret linear programming solutionsAn introduction to stochastic programming and the use of RSP to solve problems of this typeAdditional examples, exercises, and cases have been included throughout, allowing readers to test their comprehension of the material. In addition, a related website features Microsoft Office? Excel files to accompany the figures and data sets in the book.With its accessible and comprehensive presentation, Optimization Modeling with Spreadsheets, Second Edition is an excellent book for courses on deterministic models, optimization, and spreadsheet modeling at the upper-undergraduate and graduate levels. The book can also serve as a reference for researchers, practitioners, and consultants working in business, engineering, operations research, and management science.
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