A definitive and up-to-date reference

Reliability, safety and quality are key to success in commercial, industrial and public sector environments. Global competition in business and a drive for greater efficiency in all organizations have placed an increasing importance on the use of statistical techniques to achieve these goals.

The application of statistical methods has become well established in aerospace, automotive, electronics, pharmaceutical, semiconductor and other manufacturing industries. In recent years statistical methods have also been explored by banks, insurance companies, government agencies and health-care organizations interested in improving the quality of their services to customers.

The Encyclopedia of Statistics in Quality and Reliability is intended to support the development and implementation of statistical tools essential to designing or improving the quality of products, processes and measurement systems. This multi-volume work will provide an invaluable guide and reference for all engineers, managers and administrators responsible for improving performance within their own particular field of activity.

Aims & Scope
The Encyclopedia will address the theory and applications of quality and reliability statistical techniques including (but not limited to), the fundamentals of the subject; design for reliability and safety; reliability development testing; inspection and testing; experimental design; data collection systems and industrial data mining; information feedback and control; process charts; design for Six-Sigma; quality management; and quality engineering. The coverage of these topics will have a very practical orientation and feature many case studies.

Structure and Format
The Encyclopedia will be published in three printed volumes with a total extent of around 1,800 pages. The approximate 500 articles will be presented alphabetically and range from short definitions of less than one page to longer, discursive treatments of more advanced topics. Online publication, enabling full text searching and extensive cross-referencing, is planned on Wiley InterScience.