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News from Taylor & Francis Journals All journals and corresponding offers can be accessed via informaworld.com
Transport Theory and Statistical Physics New co-editor Dr. James Holloway of the University of Michigan now joins the University of Virginia’s John J. Dorning as the new co-editor of Transport Theory and Statistical Physics. With emphasis on fundamental studies, this journal invites articles on neutral-particle transport, kinetic theory, radiative transfer, charged-particle transport, macroscopic transport phenomena, and novel computational methods as well as applications of these subjects and related mathematical results. In addition, the journal encourages articles on uncertainty quantification related to these fields, offering a range of information and research methodologies unavailable elsewhere.
Free Offers The most highly cited article as ranked by Thomson Reuters, Kinetic Theoretical Studies of the Half-Space Problem of Evaporation and Condensation, is now FREE to view online. Simply visit www.tandf.co.uk/journals/LTTY and click on News & Offers. A free issue of the journal is also available online to potential subscribers.
Journal of Nonparametric Statistics ASA The editors of the journal are pleased to announce that Journal of Nonparametric Statistics is now a official publication of the American Statistical Association.
Best Student Paper Prize The Journal and the ASA Section on Nonparametric Statistics are pleased to offer an annual award for the best paper written solely or primarily by a student published in the Journal of Nonparametric Statistics. Visit the journal online for more details.
Free Until the End of the Year Access a recent discussion paper, complete with comments and rejoinder, on the Identification and Estimation of Nonlinear Models Using Two Samples with Nonclassical Measurement Errors by Raymond J. Carroll, Xiaohong Chen, and Yingyao Hu. This paper considers identification and estimation using two samples, both of which consist of a dependent variable, some error-free covariates, and an error-prone covariate, for which the measurement error has unknown distribution and could be arbitrarily correlated with the latent true values. Neither sample contains an accurate measurement of the corresponding true variable. A Monte Carlo simulation and a data application are presented to show the power of the approach.
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CRCnetBASE 2.0 Arrives In 1999, CRC Press set out on a groundbreaking venture to bring its renowned printed references and handbooks to the online market. The result was CRCnetBASE—the powerful research platform that has been adopted at leading academic and corporate institutions around the world. More than a decade later, CRC Press continues its tradition of e-publishing excellence with the long-anticipated release of CRCnetBASE 2.0. Expanded to meet the needs of researchers and innovators in the 21st century, the new platform allows individual users to access the same online content previously available only to libraries and institutions. Built with flexibility in mind, CRCnetBASE 2.0 grants users the ability to pick and choose from more than 7,000 e-books to build a library tailored to specific research needs. From data mining to theoretical mathematics and statistical analysis, this versatile resource provides access to electronic databases and ebooks in 40 different disciplines. Committed to advancing their digital offerings, CRC Press formed its first Library Advisory Board last year to facilitate discussion between librarians and CRC about the rapidly changing needs of today’s researchers, academics, and professionals. Through regular correspondence and meetings, members of the board provide guidance and insight to help ensure that CRCnetBASE continues to be the preeminent source for authoritative electronic databases and e-books. In addition to ebooks published under the CRC Press imprint, CRCnetBASE includes chemical databanks and online resources from Chapman & Hall.
Take CRCnetBASE 2.0 for a Test Run! Visit www.CRCnetbase.com or contact the CRC online team at e-reference@taylorandfrancis.com to find out about the 30-day trial for qualifying academic, corporate, or government institutions.
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Frontiers Harnessing the Power of Computing
Now that you have all the data…. Dealing with the volume and diversity of data currently generated by experiments and simulations can cause researchers to waste valuable time on rote rather than creative activities. Fortunately, state-of-the art tools now provide straightforward solutions for the efficient management and analysis of data. Through a diverse collection of statistics books, Chapman & Hall/CRC helps you access those tools when tackling the cumbersome challenges of large, complex, and varied statistical data. In Using R for Data Management, Statistical Analysis, and Graphics and Using SAS for Data Management, Statistical Analysis, and Graphics (both July 2010), Ken Kleinman and Nicholas J. Horton present approaches to analytical tasks in either R or SAS that allow users to avoid extensive, idiosyncratic, and sometimes unwieldy software documentation. Through the extensive indexing, cross-referencing, and worked examples provided in these texts, users can directly find and implement the material they need. Downloadable data sets and sample code are accessible on the books’ websites.
Another innovative book from Chapman & Hall/CRC, Scientific Data Management: Challenges, Technology, and Deployment (January 2010), describes cutting-edge solutions for managing and analyzing vast amounts of data. Edited by Arie Shoshani and Doron Rotem, this volume provides a comprehensive understanding of the latest techniques for managing data every step of the way. Enhanced with color images, it includes real-world examples of applications drawn from biology, ecology, geology, and more. According to Dr. Shoshani, “… we’ve gone all the way from hardware to file systems to data simulations, analysis, visualization, collecting metadata, workflow, all that you would find when you’re dealing with scientific data.” Check out Arie Shoshani’s online discussion, International Science Grid This Week (iSGTW), December 2009: http://www.isgtw.org/?pid=1002259
Series: Handbooks of Modern Statistical Methods From nonparametric regression to Monte Carlo simulation, more robust techniques and models have emerged in the field of statistics that embrace recent computational developments. Now, statisticians are applying these contemporary methods to address problems in psychology, economics, epidemiology, ecology, and more. Reflecting the intense development of recent years, Chapman & Hall/CRC Handbooks of Modern Statistical Methods documents those resources, emphasizing statistical methods and models likely to endure into the future. The series is edited by Professor Garrett Fitzmaurice, Department of Biostatistics, Harvard School of Public Health. The latest entry in the series, the Handbook of Spatial Statistics (March 2010) expertly compiles diverse research and applications of the past 20 years. In bringing together the field’s most prominent researchers, including editors Alan E. Gelfand (featured on our Pioneers page), Peter J. Diggle, Montserrat Fuentes, and Peter Guttorp, this volume provides a comprehensive and integrated
treatment of both classical and emerging aspects of spatial statistics. With cross-referenced chapters and an extensive bibliography, this unified work is specifically designed to promote future research efforts. It deftly balances theory and application, strongly emphasizes modeling, and introduces many real data analysis examples. Well on the way to becoming a bestseller, Longitudinal Data Analysis (2009) focuses on the assorted challenges specific to analyzing longitudinal data. Edited by Garrett Fitzmaurice, Marie Davidian, Geert Verbeke, and Geert Molenberghs, this landmark publication emphasizes those statistical models and methods likely to become the best choices going forward. Whether involved with the development of statistical methodology or the analysis of longitudinal data, readers will definitely discover new perspectives on the field. “… public-service broadcasting at its best. … a must-have for anyone seriously involved with repeated measures or longitudinal data.” —International Statistical Review, 2009
Proposals for this series may be submitted to Rob Calver, Senior Acquisitions Editor, Statistics: rob.calver@informa.com
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