Journal Guide

Stochastic Processes and their Applications publishes papers on the theory and applications of stochastic processes. It is concerned with concepts and techniques, and is oriented towards a broad spectrum of mathematical, scientific and engineering interests.Characterization, structural properties, inference and control of stochastic processes are covered. The journal is exacting and scholarly in its standards. Every effort is made to promote innovation, vitality, and communication between disciplines. All papers are refereed.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

Articles are published dealing with all aspects of stochastic systems analysis, characterization problems, stochastic modelling and identification, optimization, filtering and control and with related questions in the theory of stochastic processes. The journal also solicits papers dealing with significant applications of stochastic process theory to problems in engineering systems, the physical and life sciences, economics and other areas. Proposals for special issues in cutting-edge areas are welcome and should be directed to the Editor-in-Chief who will review accordingly.

This interdisciplinary journal is devoted to publishing high quality papers in modeling, analyzing, quantifying and predicting stochastic phenomena in science and engineering from a dynamical system's point of view.Papers can be about theory, experiments, algorithms, numerical simulation and applications. Papers studying the dynamics of stochastic phenomena by means of random or stochastic ordinary, partial or functional differential equations or random mappings are particularly welcome, and so are studies of stochasticity in deterministic systems.Occasionally, invited expository papers will also be published.

Structural Equation Modeling publishes manuscripts from all academic disciplines with an interest in structural equation modeling. These include, but are not limited to, psychology, sociology, educational research, political science, economics, management, and business/marketing. The journal contains theoretical and applied articles, a teachers' corner, book and software reviews, and advertising. Theoretical articles address new developments and examine current practices. Applied articles deal with both exploratory and confirmatory models. The teachers' corner provides instructional modules on aspects of structural equation modeling. The book and software reviews afford an opportunity to examine new modeling information and techniques. Advertising alerts readers to new products. RELATED LINKS * Research Methods books * Research Methods conferences * Join the Psychology Press Research Methods mailing list!Peer Review Policy: All research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous double-blind reviewing by three anonymous referees. Publication office: Taylor & Francis, Inc., 325 Chestnut Street, Suite 800, Philadelphia, PA 19106.

TOP is the official journal of the Spanish Society of Statistics and Operations Research. International in focus, the journal publishes original findings in operations research and management sciences. Contributions investigate either mathematical issues or applications to real-world decision-making problems. The topics covered are continuous and discrete optimization, games, decision theory, logistics, production planning, stochastic models, simulation, and OR applications.Officially cited as: Top

Journal of Statistics for the Physical, Chemical, and Engineering SciencesPublished Quarterly by the American Society for Quality and the American Statistical AssociationSince its inception in 1959, the mission of Technometrics has been to contribute to the development and use of statistical methods in the physical, chemical, and engineering sciences.Technometrics publishes papers that describe new statistical techniques, illustrate innovative application of known statistical methods, or review methods, issues, or philosophy in a particular area of statistics or science, when such papers are consistent with the journal's objective. Since 1959, the methods presented in the journal have reflected changes in the discipline.In recent years, some of these changes have been associated with improved computer technology and availability, resulting in highly flexible and computer-intensive approaches to scientific data analysis. (See for example the lead article in the August 1998 issue by Richard A. Becker, Linda A. Clark, and Diane Lambert entitled "Events Defined By Duration and Severity, with an Application to Network Reliability," with discussion by Jeff Robinson and Josef Schmee.) With the emergence of massive computing and data storage capabilities, statistical approaches to screening, flexible modeling, pattern characterization, and change detection that were infeasible 20 years ago are now viable. There have also been shifts in basic attitudes about data analysis (e.g., less formal hypothesis testing, more fitted models via graphical analysis), and in how some of our important application areas are managed (e.g., quality assurance through robust design rather than detailed inspection).Many of the problems in industry today concern the analysis of huge data sets that lead to improved quality or better understanding of the manufacturing or development process. The journal would like to encourage submissions that address problems of this nature and that take advantage of modern resources.Technometrics is reviewed in Mathematical Reviews, abstracted in Applied Science & Technology Abstracts and abstracted and indexed in The Engineering Index, COMPENDEX, and Applied Science & Technology Index.

Statistical research spans an enormous range from direct subject-matter collaborations to pure mathematical theory. The Annals of Applied Statistics, the newest journal from the IMS, is aimed at papers in the applied half of this range. Published quarterly in both print and electronic form, our goal is to provide a timely and unified forum for all areas of applied statistics.

The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology (JDMS) is a journal devoted to advancing the practice, science, and art of modeling and simulation as it relates to the military and defense. Topics include: warfighting, training, test and evaluation, command and control, aerospace, peacekeeping, non-traditional missions, and homeland security, simulation design techniques, and federation construction process, simulation techniques, synthetic natural environment modeling, multi-resolution techniques, and High Level Architecture.

Theoretical Biology and Medical Modelling is ready to receive manuscripts on all aspects of biology and the conceptual modelling required to understand its complexity.

Virtual and Physical Prototyping is moving to online only in 2011. We welcome authors to submit supplementary data sets, colour images, animation and videos to publish with your articles to enhance the content experience of the journal. Virtual and Physical Prototyping provides an international forum for professionals and academics to exchange novel ideas and disseminate knowledge covering the full range of activities related to the multi-disciplinary area of virtual and rapid prototyping. Areas of focus include but are not limited to: • CAD and 3D data acquisition technologies: fast geometrical modelling schemes, 3D digitising, X-ray tomography, photogrammetry, image-based modelling systems • Virtual environments: virtual engineering and manufacturing, virtual enterprise engineering, Internet-based product development, rapid prototyping simulation and optimisation, new methods for virtual prototyping • Rapid prototyping: advances in rapid prototyping technologies, bio-inspired routes for novel bio-manufacturing strategies, computer modelling of rapid prototyping • Rapid tooling and manufacturing: advances on material removal and addition technologies, research on new rapid prototyping technologies, micromachining, nanofabrication, high speed machine technology, small batch production methods, systems for the direct manufacturing of metallic and ceramic components • Advanced rapid prototyping materials, biomaterials for medical applications • Concurrent engineering: concurrent engineering in virtual environment, frameworks for information sharing, collaborative decision-making in concurrent engineering, concurrent design and manufacture All published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent expert referees. STAR Taylor & Francis/Routledge are committed to the widest possible dissemination of its journals to non-profit institutions in developing countries. Our STAR initiative offers individual researchers in Africa, South Asia and many parts of South East Asia the opportunity to gain one month's free online access to 1,300 Taylor & Francis journals. For more information, please visit the STAR website. Disclaimer Taylor & Francis makes every effort to ensure the accuracy of all the information (the 'Content') 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 aim of International Journal of Visualization in Engineering, a fully open access journal published under the brand SpringerOpen, is to disseminate original and high quality research results on the visualization paradigms, models, technologies, and applications that have significant contributions to the advancement of all aspects of design and engineering. The proposed journal is devoted to scholarly research on improving all aspects of design and engineering (including civil, mechanical, manufacturing, industrial, aerospace, etc.) through the applications of visualization technologies. The journal is particularly interested in research that adds to the scientific understanding of the impacts that visualization technologies can have on the stages along the entire life cycle of a particular industry, for example, planning, design, construction, maintenance, and operations of constructed facilities.
The proposed journal provides, for the first time, an international and interdisciplinary platform and forum for researchers to present their findings, latest developments, and perspectives on future trends in visualization in design and engineering, covering relevant advances in the areas of computing, management, human factors, education, and social sciences.

mSystems® is an open-access journal that publishes preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems welcomes submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems provides streamlined decisions, while carrying on ASM's tradition of rigorous peer review.