Elsevier to publish the Journal of the Korean Statistical Society from 2008

Journal is expanding its global reach

Amsterdam, 4 February 2008 - Elsevier, a leading publisher of scientific, medical and technical information products and services, announced today that it will start publishing the Journal of the Korean Statistical Society, in collaboration with the Korean Statistical Society.

The Journal of the Korean Statistical Society has been published as a quarterly journal by the Korean Statistical Society since March 1973, when the first issue appeared.

The aim of the collaboration is to further the development of the Journal, by expanding its global reach with an international editorial board. In addition, the visibility of the Journal will be increased through the availability of the journal in ScienceDirect.

“We hope to see an increase in the service the Journal provides to the world-wide statistics community”, says Prof. Jong Woo Jeon, President of the Korean Statistical Society.

The Journal of the Korean Statistical Society publishes research articles that make original contributions to the theory and methodology of statistics and probability. It also welcomes papers on innovative applications of statistical methodology, as well as papers that give an overview of current topic of statistical research with judgments about promising directions for future work. The journal welcomes contributions from all countries.

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About the editors:
Byeong U. Park
Byeong U. Park is a Professor of Seoul National University. He holds degrees from Seoul National University and University of California at Berkeley. He has conducted his leadership research in nonparametric smoothing, semiparametric inference, statistical learning, boundary estimation, stochastic frontier estimation, and asymptotic analysis in general, for nearly twenty years. He has been playing a leading role in the Korean statistical community and serving valued editorial work. He is a Fellow of American Statistical Association and of Institute of Mathematical Statistics.

Peter Hall
Peter Hall is a Professor of Statistics at the University of Melbourne. He holds degrees from the University of Sydney, the Australian National University and Oxford University, and has been an active researcher in statistics and probability theory for more than thirty years. He is a Fellow of the Australian Academy of Science and of the Royal Society of London, and a Corresponding Fellow of the Royal Society of Edinburgh.

Qiwei Yao
Qiwei Yao is a Professor of Statistics at the London School of Economics and Political Science. His research interest includes time series analysis, spatial-temporal modelling, semiparametric and nonparametric regression, and high-dimensional data analysis. He is a Fellow of the Institute of Mathematical Statistics and an Elected Member of the International Statistical Institute.

About Elsevier
Elsevier is a world-leading provider of information solutions that enhance the performance of science, health, and technology professionals, empowering them to make better decisions, deliver better care, and sometimes make groundbreaking discoveries that advance the boundaries of knowledge and human progress. Elsevier provides web-based, digital solutions — among them ScienceDirect, Scopus, Research Intelligence and ClinicalKey— and publishes over 2,500 journals, including The Lancet and Cell, and more than 35,000 book titles, including a number of iconic reference works. Elsevier is part of RELX Group, a world-leading provider of information and analytics for professional and business customers across industries. www.elsevier.com

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Keith Jones
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