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This multidisciplinary journal publishes high-quality, original papers in all areas of probability theory, including probability on semigroups, groups, vector spaces, other abstract structures, and random matrices. Journal of Theoretical Probability provides mathematicians and researchers in physics, engineering, statistics, and computer science with a peer-reviewed forum for the exchange of vital ideas in the field of theoretical probability.

During the last 30 years Time Series Analysis has become one of the most important and widely used branches of Mathematical Statistics. Its fields of application range from neurophysiology to astrophysics and it covers such well-known areas as economic forecasting, study of biological data, control systems, signal processing and communications and vibrations engineering. The Journal of Time Series Analysis started in 1980, has since become the leading journal in its field, publishing papers on both fundamental theory and applications, as well as short communications on theoretical developments. The editorial board consists of many of the world's leading experts in Time Series Analysis.

The events of 9/11 and beyond have compelled stakeholders to look at transport security as much more than merely another element of the global networks that move people and goods. An activity that was previously viewed as a routine component of modern transportation is now seen as both a vital necesity and a national priority. Across a wide spectrum, transportation security is playing a leading role in determining how both the present and future will look. Remarkably, no single clearinghouse of research and analysis on this important topic has arisen. Transportation security lies at the core of many important areas of study, including supply chain and logistics: information technology: public policy: international business: political science: engineering: transportation: economics: and counterterrorism, among others. This journal will be the first to take a global, apolitical, and in-depth multidisciplinary look at the field. The mission of the journal will be to disseminate new research, thought, and analysis for teachers, researchers, policy makers and practitioners around the world who view transportation security as a critical element in the post 9/11 world.Officially cited as: J Transp Secur

The Journal of the American Statistical Association, published quarterly, has long been considered the premier journal of statistical science. Established in 1888, JASA focuses on statistical applications, theory, and methods in economic, social, physical, engineering, and health sciences. Important books contributing to statistical advancement also are reviewed.

* Real applications of OR - forecasting, inventory, investment, location, logistics, maintenance, marketing, packing, purchasing, production, project management, reliability and scheduling * A wide variety of environments - community OR, education, energy, finance, government, health services, manufacturing industries, mining, sports, and transportation * Technical approaches - decision support systems, expert systems, heuristics, networks, mathematical programming, multicriteria decision methods, problems structuring methods, queues, and simulation.

The aim of Series A is to publish papers that demonstrate how statistical thinking, design and analyses play a vital role in all walks of life and benefit society in general. There is no restriction on subject-matter: any interesting, topical and revelatory applications of statistics are welcome. For example, important applications of statistical methods in medicine, business and commerce, industry, economics and finance, education and teaching, physical and biomedical sciences, the environment, the law, government and politics, demography, psychology, sociology and sport all fall within the journal's remit. The journal is therefore aimed at a wide statistical audience and at professional statisticians in particular. Its emphasis is on well-written and clearly reasoned quantitative approaches to problems in the real world rather than the exposition of technical detail. Thus, although the methodological basis of papers must be sound and adequately explained, methodology per se should not be the main focus of a Series A paper. Of particular interest are papers on topical or contentious statistical issues, papers which give reviews or exposes of current statistical concerns and papers which demonstrate how appropriate statistical thinking has contributed to our understanding of important substantive questions. Historical, professional and biographical contributions are also welcome as are discussions of methods of data collection and of ethical issues, provided that all such papers have substantial statistical relevance. Discussion papers.

The Journal of the Royal Statistical Society, Series B (Statistical Methodology), aims to publish high quality papers on the methodological aspects of statistics. The objective of papers should be to contribute to the understanding of statistical methodology and/or to develop and improve statistical methods; any mathematical theory should be directed towards these aims. The kinds of contribution considered include descriptions of new methods of collecting or analysing data, with the underlying theory, an indication of the scope of application and preferably a real example. Also considered are comparisons, critical evaluations and new applications of existing methods, contributions to probability theory which have a clear practical bearing (including the formulation and analysis of stochastic models), statistical computation or simulation where original methodology is involved and original contributions to the foundations of statistical science. Reviews of methodological techniques are also considered. A paper, even if correct and well presented, is likely to be rejected if it only presents straightforward special cases of previously published work, if it is of mathematical interest only, if it is too long in relation to the importance of the new material that it contains or if it is dominated by computations or simulations of a routine nature. Discussion papers.

The Journal of the Royal Statistical Society, Series C (Applied Statistics), promotes papers that are focused on statistical methods for real life problems. Applications should be central to papers, rather than illustrative, to motivate the work and to justify any methodological developments. All papers should feature an adequate description of a substantial application and a justification for any new theory. Case-studies may be particularly appropriate and should include some contextual details, though there should also be a novel statistical contribution, for instance by adapting or developing methodology, or by demonstrating the proper application of new or existing statistical methods to solve challenging applied problems. Papers describing interdisciplinary work are especially welcome, as are those that give interesting novel applications of existing methodology or provide new insights into the practical application of methods, and papers explaining innovative analysis of generic applied problems but not necessarily focused on a particular application also have a place in Series C. Short communications may also be appropriate. Methodological papers that are not motivated by a genuine application are not acceptable; nor are papers that include only brief numerical illustrations or that mainly describe simulation studies of properties of statistical techniques. However, papers describing developments in statistical computing are encouraged, provided that they are driven by practical examples. Extended algebraic treatment should be avoided.

Knowledge-Based Systems is an international, interdisciplinary and applications-oriented journal. This journal focuses on systems that use knowledge-based (KB) techniques to support human decision-making, learning and action; emphases the practical significance of such KB-systems; its computer development and usage; covers the implementation of such KB-systems: design process, models and methods, software tools, decision-support mechanisms, user interactions, organizational issues, knowledge acquisition and representation, and system architectures.

This journal's current leading topics are but not limited to:

• Big data techniques and methodologies, data-driven information systems, and knowledge acquisition
• Cognitive interaction and intelligent human interfaces
• Recommender systems and E-service personalization
• Intelligent decision support systems, prediction systems and warning systems
• Computational and artificial intelligence based systems and uncertain information processes
• Swarm intelligence and evolutionary computing
• Knowledge engineering, machine learning-based systems and web semantics

The journal also welcomes papers describing novel applications of knowledge based systems in any human endeavor: ranging from financial technology to engineering to health science or any other domain impacted by Artificial Intelligence technologies and its associated techniques and systems.

To further the state of the art, Knowledge Based Systems now also reviews and publishes software and code through its new http://www.elsevier.com/about/content-innovation/original-software-publicationsOriginal Software Publication format to disseminate these important born digital knowledge elements.

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JSTOR is a not–for–profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive of over one thousand academic journals and other scholarly content. We use information technology and tools to increase productivity and facilitate new forms of scholarship. Welcome.

Benefits to authors
We 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 http://www.elsevier.com/wps/find/authorsview.authors/authorservicesauthor services.

Please see our http://www.elsevier.com/wps/find/journaldescription.cws_home/622911/authorinstructionsGuide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

A leading business science journal with the distinction of being the oldest and longest-running scholarly publication focused specifically on the area of management.