Quantitative methods for decision makers

Bibliographic Information

Quantitative methods for decision makers

Mik Wisniewski

Financial Times/Prentice Hall, 2002

3rd ed

Available at  / 2 libraries

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Note

Previous ed.: London : Pitman, 1997

Includes bibliographical references and index

Description and Table of Contents

Description

The book is suitable for introductory quantitative methods courses from undergraduate programmes in business to MBA level. The choice of cases and style of writing make it particularly appealing to MBA students. This is a well-established text, which appeals largely to the MBA and post-experience market. It provides a friendly and practical introduction to an area that students often find difficult. The book concentrates on helping students understand the relevance of quantitative methods of analysis to managers' decision-making, and covers all the topics taught on a first course in quantitative methods.

Table of Contents

1. Introduction 2. Tools of the trade 3. Management information and diagrams 4. Management statistics 5. Probability and probability distributions 6. Decision making under uncertainty 7. Market research and statistical inference 8. Quality control and quality management 9. Forecasting 1: Moving averages and time series 10. Forecasting 2: Regression 11. Linear programming 12. Stock control 13. Project management 14. Simulation 15. Financial decision-making Conclusion Appendices: A. Binomial distribution B. Areas in the tail of the Normal distribution C. Areas in the tail of the t distribution D. Areas in the tail of the x2 distribution E. Areas in the tail of the F distribution F. Solutions to chapter activities

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