Quantitative techniques help a manager improve the overall quality of decision-making. These techniques are most commonly used in the rational/logical decision model, but they can apply in any of the other models as well. Among the most common techniques are decision trees, payback analysis, and simulations. A quantitative analyst is a person who works in finance using numerical or quantitative techniques. Similar work is done in most other modern industries, but the work is not always called quantitative analysis. In the investment industry, people who perform quantitative analysis are frequently called quants. In statistics and survey methodology, sampling is concerned with the selection of a subset of individuals within a population to estimate characteristics of the whole population. Researchers rarely survey the entire population because the cost of a census is too high. This book re-examines the concept of quantitative techniques context and attempts to integrate participatory and rights-based concerns. It is a must read for students of management, operation researchers and teachers.
