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The Journal of Agricultural & Food Information serves as a forum for the exchange and dissemination of research, knowledge, and innovative practice related to the broad spectrum of agricultural and food information. The journal is directed toward all persons in the food and agriculture arena who are involved with disseminating information. Publication office: Taylor & Francis, Inc., 325 Chestnut Street, Suite 800, Philadelphia, PA 19106.

The Journal of Agricultural, Biological, and Environmental Statistics (JABES) publishes papers of immediate and practical value to applied researchers and statistical consultants in the agricultural sciences, the biological sciences (including biotechnology), and the environmental sciences (including those dealing with natural resources). Only papers that address applied statistical problems will be considered. Interdisciplinary papers as well as papers that illustrate the application of new and important statistical methods using real data are strongly encouraged. For regular papers, a motivating example should be presented early in the paper. The statistical development should then be presented, and the results applied to the example. Expository, review, and survey articles addressing broad-based statistical issues are encouraged. Presentation should be accurate, clear, and comprehensible to readers with a background in statistical applications. When necessary, detailed proofs, computer code, and other leng

Taylor & Francis is very sorry to report the death of Gopal Kanji, Founding Editor of Journal of Applied Statistics and Julian Besag, member of the Editorial Board. Our thoughts and best wishes are with their families at this sad time.Journal of Applied Statistics provides a forum for communication between both applied statisticians and users of applied statistical techniques across a wide range of disciplines. These areas include business, computing, economics, ecology, education, management, medicine, operational research and sociology, but papers from other areas are also considered. The editorial policy is to publish rigorous but clear and accessible papers on applied techniques. Purely theoretical papers are avoided but those on theoretical developments which clearly demonstrate significant applied potential are welcomed. Each paper is submitted to at least two independent referees. Each issue aims for a balance of methodological innovation, thorough evaluation of existing techniques, case studies, speculative articles, book reviews and letters. INCREASED 2009 5-year Impact Factor: 0.536169; 2010 Thomson Reuters, 2009 Journal Citation Reports174;Gopal Kanji PrizeFrom 2008, the 8216;Gopal Kanji Prize' will be awarded for the Best Paper published in Journal of Applied Statistics (JAS) in 2008. The winning article will be published on the JAS web page and the winner will receive a free subscription to the journal as well as a 163;500 cash prize. To contribute a paper to Journal of Applied Statistics and thus be eligible for the award, please refer to the submission instructions of the Journal. Peer Review PolicyAll published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent expert referees. DisclaimerTaylor & Francis makes every effort to ensure the accuracy of all the information (the 8220;Content8221;) contained in its publications. However, Taylor & Francis and its agents and licensors make no representations or warranties whatsoever as to the accuracy, completeness or suitability for any purpose of the Content and disclaim all such representations and warranties whether express or implied to the maximum extent permitted by law. Any views expressed in this publication are the views of the authors and are not the views of Taylor & Francis.

The Journal of Behavioral Decision Making is a multidisciplinary journal with a broad base of content and style. It publishes original empirical reports, critical review papers, theoretical analyses and methodological contributions. The Journal also features book, software and decision aiding technique reviews, abstracts of important articles published elsewhere and teaching suggestions. The objective of the Journal is to present and stimulate behavioral research on decision making and to provide a forum for the evaluation of complementary, contrasting and conflicting perspectives. These perspectives include psychology, management science, sociology, political science and economics. Studies of behavioral decision making in naturalistic and applied settings are encouraged. Articles on specialist topics aim for wider readability by including fully referenced introductions on the background to a particular study and, where possible, discuss the broader implications of the work. The Journal especially welcomes manuscripts that deal with issues that have cross-disciplinary impact. Such manuscripts will be considered for publication together with a selection of commentaries from members of the editorial board. Reviews are 'collaborationist' in the sense that reviewers are asked to do more than point out flaws and will suggest design improvements, new ideas, relevant references and follow-up studies. Reviewers are offered the opportunity to publish commentaries alongside the article. Papers published in the Journal of Behavioral Decision Making will encompass, but not be limited to, the following areas:

The Journal of Business & Economic Statistics serves as a unique meeting place for applied economists, econometricians, and statisticians developing appropriate empirical methodologies for a broad range of topics in business and economics. JBES is consistently ranked among the top 10 of all economics journals. Coverage includes forecasting, data quality, policy evaluation, and more.

The Journal of Choice Modelling publishes theoretical and applied papers in the field of choice modelling. Papers are expected to either make a methodological contribution to the field, or to present an innovative application. The journal is not limited to one area of study, such as transport or marketing, but invites contributions from across a range of disciplines where the analysis of choice behaviour is a topic of interest. While the majority of papers focus on the use of discrete choice models, contributions looking at other methods are also welcome. Similarly, the Journal of Choice Modelling also welcomes contributions looking at survey design.

The Journal of Classification presents original and valuable papers in the field of classification, numerical taxonomy, multidimensional scaling and other ordination techniques, clustering, tree structures and other network models, as well as associated models and algorithms for fitting them. Articles support advances in methodology, while demonstrating compelling substantive applications. The journal also publishes comprehensive review articles. Among the disciplines represented are statistics, psychology, biology, information retrieval, anthropology, archeology, astronomy, business, chemistry, computer science, economics, engineering, geography, geology, linguistics, marketing, mathematics, medicine, political science, psychiatry, sociology, and soil science. Published twice a year, each issue typically comprises four sections: articles, short notes and comments, software abstracts, and book reviews. The Editor-in-Chief is Willem J. Heiser, Department of Psychology, Leiden University, The Netherlands.Offici

Journal of Computational and Graphical Statistics works to improve and extend the use of computational and graphical methods in statistics and data analysis. Established in 1992, JCGS contains cutting-edge research, data, surveys, and more on numerical methods, graphical displays and methods, and perception. Articles are written for readers who have a strong background in statistics, but are not necessarily experts in computing.

The Journal of Engineering and Technology Management (JET-M) is an international scholarly refereed research journal which aims to promote the theory and practice of technology, innovation, and engineering management.The journal links engineering, science, and management disciplines. It addresses the issues involved in the planning, development, and implementation of technological capabilities to shape and accomplish the strategic and operational objectives of an organization. It covers not only R&D management, but also the entire spectrum of managerial concerns in technology-based organizations. This includes issues relating to new product development, human resource management, innovation process management, project management, technological fusion, marketing, technological forecasting and strategic planning.The journal provides an interface between technology and other corporate functions, such as R&D, marketing, manufacturing and administration. Its ultimate goal is to make a profound contribution to theory development, research and practice by serving as a leading forum for the publication of scholarly research on all aspects of technology, innovation, and engineering management.Benefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

Journal of Enterprise Information Management publishes high quality articles of significant intellectual interest and commercial relevance to managers, consultants, academics and students operating within an information intense business driven enterprise.

Journal of Environmental Informatics (JEI) is an international, peer-reviewed, and interdisciplinary publication designed to foster innovative research on systems science and information technology for environmental management. The journal aims to motivate and enhance the integration of environmental information and systems analysis to help develop management solutions that are consensus-oriented, risk-informed, scientifically-based and cost-effective.

The Journal of Forecasting is an international journal that publishes refereed papers on forecasting. It is multidisciplinary, welcoming papers dealing with any aspect of forecasting: theoretical, practical, computational and methodological. A broad interpretation of the topic is taken with approaches from various subject areas, such as statistics, economics, psychology, systems engineering and social sciences, all encouraged. Furthermore, the Journal welcomes a wide diversity of applications in such fields as business, government, technology and the environment. Of particular interest are papers dealing with modelling issues and the relationship of forecasting systems to decision-making processes. New concepts of modelling are especially encouraged as well as practical details of actual applications of particular models. Apart from research reports and review articles, other materials of interest that will be published include book reviews, software reviews, descriptions of data sources and notices of general interest.