The Wiley Handbook of Statistical Computing will provide a compendium of concepts, theories, techniques, and practices in statistical computing for users desiring a single, standalone sourcebook for this important area of contemporary data science.  The Handbook will contain a series of sub-sections, each devoted to a central arena of statistical computing within which external authors – including the co-Editors – offer modern presentations on specific topical areas. Finalized entries in the new Handbook will also be available in Wiley StatsRef: Statistics Reference Online compendium, helping to build the source base for Wiley StatsRef while also providing authors with the opportunity to showcase their work in multiple locations for maximal impact.

Walter W. Piegorsch is Professor of Mathematics at the University of Arizona and Director of Statistical Research & Education at the University’s BIO5 Institute. He is also a former Chair of the UArizona Interdisciplinary Program in Statistics, and a past editor of the Journal of the American Statistical Association (Theory & Methods Section). He is a fellow of the American Statistical Association and an elected member of the International Statistical Institute.

Richard A. Levine is Professor of Statistics at San Diego State University and Faculty Advisor overseeing the Statistical Modeling Group in SDSU Analytic Studies and Institutional Research. He is former Chair of the SDSU Department of Mathematics and Statistics and past Editor of the Journal of Computational and Graphical Statistics. He is Associate Editor for Statistics of the Notices of the American Mathematical Society and is a fellow of the American Statistical Association.

Hao Helen Zhang is Professor of Mathematics at the University of Arizona and Chair of the UArizona Interdisciplinary Program in Statistics. She is Editor-in-Chief of STAT (the ISI journal) and Associate Editor of the Journal of the American Statistical Association and the Journal of the Royal Statistical Society. She is a fellow of the American Statistical Association, the Institute of Mathematical Statistics, and an elected member of the International Statistical Institute.

Thomas C. M. Lee is Professor of Statistics and Associate Dean of the Faculty in Mathematical and Physical Sciences at the University of California, Davis. He is a former Chair of the Department of Statistics at the same institution and a past editor of the Journal of Computational and Graphical Statistics. He is an elected fellow of the American Association for the Advancement of Science, the American Statistical Association, and the Institute of Mathematical Statistics..