Computational techniques based on simulation have now become an essential part of the statistician's toolbox. It is thus crucial to provide statisticians with a practical understanding of those methods, and there is no better way to develop intuition and skills for simulation than to use simulation to solve statistical problems. Introducing...

Despite increases in their application and improvements in their structure, there is a paucity of reliable and valid scales compared to the complex range of problems that social workers and other health professionals confront daily. They need to be able to design rapid assessment instruments (RAIs) to fit their specific situations, and with this...

Taking into account the popularity and variety of the genre, this collaborative volume considers a wide range of English Romantic autobiographical writers and modes, including working-class autobiography, the familiar essay, and the staged presence. In the wake of Rousseau's "Confessions", autobiography became an increasingly popular...

This book shows you how to leverage dynamic visualization and exploratory data analysis...

Approaching computational statistics through its theoretical aspects can be daunting. Often intimidated or distracted by the theory, researchers and students can lose sight of the actual goals and applications of the subject. What they need are its key concepts, an understanding of its methods, experience with its implementation, and practice...

R is a powerful and flexible statistical and graphical environment that is freely distributed under the GNU Public Licencea for all major computing platforms (Windows, MacOSX and Linux). This open source licence along with a relatively simple scripting syntax has promoted diverse and rapid evolution and contribution. As the broader scientific...

Many web applications are implemented in a way that makes developing them difficult and repetitive. Catalyst is an open source Perl-based Model-View-Controller framework that aims to solve this problem by reorganizing your web application to design and implement it in a natural, maintainable, and testable manner, making web development fun,...

Many enterprises regard system-level testing as the final piece of the development effort, rather than as a tool that should be integrated throughout the development process. As a consequence, test teams often execute critical test plans just before product launch, resulting in much of the corrective work being performed in a rush and at the...

When in 1986 Yves Kodratoff started the European Working Session on Learning at Orsay, France, it could not be foreseen that the conference would grow year by year and become the premier European conference of the field, attracting submissions from all over the world. The first European Conference on Principles of Data Mining and Knowledge...

This monograph presents a framework for modelling, specifying and verifying systems composed of real-time discrete event processes. A discrete event system consists of the plant (the object to be controlled) and a controller. For example, the plant might consist of machines, robots and conveyors on the factory floor. The objective of...

The analysis of experimental data is at heart of science from its beginnings. But it was the advent of digital computers in the second half of the 20th century that revolutionized scientific data analysis twofold: Tedious pencil and paper work could be successively transferred to the emerging software applications so sweat and tears...