Alexandria, VA (PRWEB) June 27, 2012
The American Statistical Association (ASA), the nation's preeminent professional statistical society, and the American Society for Quality (ASQ), a global community of people dedicated to quality, today announced that Peihua Qiu of the University of Minnesota has been selected as the new editor for the journal Technometrics. The ASA and ASQ jointly publish Technometrics, which is in its 54th year of publication. Dr. Qiu becomes editor-elect in 2013 and will serve as editor from 2014 to 2016, succeeding current editor Hugh Chipman, Acadia University.
"Professor Qiu has been an outstanding associate editor for Technometrics, and the management committee is convinced that he will be an excellent editor," said David Steinberg, chair of the Technometrics Management Committee.
Dr. Qiu is professor of statistics in the University of Minnesota's School of Statistics. He has published about 60 papers in refereed journals as well as six book chapters. His major research interests include jump regression analysis, image processing, statistical process control, survival analysis and reliability, and various statistical applications. He received his PhD in statistics from the University of Wisconsin-Madison in 1996. In 2009, Dr. Qiu became an ASA Fellow. He is also a fellow of IMS and an elected member of ISI. Besides Technometrics, Dr. Qiu has served as associate editor of the Journal of the American Statistical Association, Biometrics, and of Statistical Papers.
"It is natural, when people talk about problems on design of experiments, reliability, or statistical process control, to think of Technometrics, because it has earned a reputation as a top journal in these areas over the past 50 years," said Dr. Qiu. "It will be my mission to maintain and improve the journal's quality and to encourage the exploration of new research directions, new research problems and new applications. I am excited about the opportunity to help lead Technometrics into the next 50 years."
Technometrics contributes to the development and use of statistical methods in physical, chemical and engineering sciences, as well as information sciences and technology. This vision includes developments on the interface of statistics and computer science such as data mining, machine learning, large databases, and so on. The journal places a premium on clear communication among statisticians and practitioners of these sciences and an emphasis on the application of statistical concepts and methods to problems that occur in these fields.
About the American Society for Quality
ASQ is a global community of people, dedicated to quality, who share the ideas and tools that make our world work better. With millions of individual and organizational members of the community in 150 countries, ASQ has the reputation and reach to bring together the diverse quality champions who are transforming the world's corporations, organizations, and communities to meet tomorrow's critical challenges. ASQ is headquartered in Milwaukee, Wis., with national service centers in China, India, and Mexico. Learn more about ASQ's members, mission, technologies, and training at http://www.asq.org.
About the American Statistical Association
Headquartered in Alexandria, Virginia, the American Statistical Association is the world's largest community of statisticians and the second oldest continuously operating professional society in the United States. For more than 170 years, the ASA has supported excellence in the development, application, and dissemination of statistical science through meetings, publications, membership services, education, accreditation, and advocacy. Its members serve in industry, government, and academia in more than 90 countries, advancing research and promoting sound statistical practice to inform public policy and improve human welfare. For additional information about the American Statistical Association, please visit the ASA web site at http://www.amstat.org or call 703.684.1221.
For more information:
Rosanne (at) amstat (dot) org