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 HallCo-Editor
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 YaoCo-Editor
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 global information analytics business that helps scientists and clinicians to find new answers, reshape human knowledge, and tackle the most urgent human crises. For 140 years, we have partnered with the research world to curate and verify scientific knowledge. Today, we’re committed to bringing that rigor to a new generation of platforms. Elsevier provides digital solutions and tools in the areas of strategic research management, R&D performance, clinical decision support, and professional education; including ScienceDirect, Scopus, SciVal, ClinicalKey and Sherpath. Elsevier publishes over 2,500 digitized journals, including The Lancet and Cell, 39,000 e-book titles and many iconic reference works, including Gray's Anatomy. Elsevier is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. www.elsevier.com

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