Quantitative Techniques and Methods

Contents: Preface. 1. Introduction. 2. Basic linear algebra. 3. Getting linear models straight. 4. Dealing with curves. 5. Fuelling quantitative analysis. 6. Pictorial presentation of data. 7. Summarizing data. 8. Relationships between two variables. 9. Summarizing money variables over time. 10. Analysing time series data. 11. Probability. 12. Analysing decisions. 13. Discrete probability distributions and simulation. 14. Continuous probability distributions and basic queuing theory. 15. Project planning using networks. 16. Unconstrained optimization. 17. Constrained optimization. 18. Modeling with linear programming. 19. Sampling methods. 20. Sampling theory, estimation and hypothesis testing. 21. Comparing population means and Bivariate data. Bibliography. Index.

"This volume on quantitative methods provides readers with a conceptual understanding of the function that quantitative methods play in the decision making process in business environment. This textbook describes the various quantitative methods that have been formulated overt he years, explaining the working, and shows the decision-makers how to apply and interpret data. It helps the reader to realize and utilize mathematical concepts and techniques. Additionally, the book also uses examples that exemplify situations in which quantitative methods are useful in making decisions."