Credit scoring--the scientific approach to determining which applicants are granted credit--is one of the by-products of the phenomenal expansion in consumer credit in the last two decades. Financial institutions have had to develop efficient and sophisticated tools for controlling the granting and monitoring of such credit. These tools are based on statistical and operational research techniques, and represent some of the most successful applications of statistical theory. Still, the area has yet to be recognized in modern statistical textbooks. This work brings together academics and practitioners to consider developments in the subject. The papers discuss how new statistical techniques can be applied in credit scoring, as well as expanding the areas where such scoring techniques are proving useful. The problems in implementing scoring systems and how they were overcome are discussed, as well as the changes in the objectives of such systems. Practitioners and researchers in statistics, operations research, and financial and business theory will find the book a valuable source of current information.