ABSTRACT
This introduction presents an overview of the key concepts discussed in the subsequent chapters of this book. The book introduces families of distributions that are most commonly used in computer science and other fields. Uncertainly appears in virtually all areas of Computer Science and Software Engineering. Installation of software requires uncertain time and often uncertain disk space. A newly released software contains an uncertain number of defects. The book provides standard examples of computer codes simulating rather complex queuing systems. It examines some commonly used types of stochastic processes and use the models to compute probabilities of events and other quantities of interest. Most forecasts are being made from a carefully and suitably chosen model that fits the data. A widely used method is regression that utilizes the observed data to find relationship between two variables.
