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Statistics in Biosciences (SIB) is published twice a year in print and electronic form. It aims at development and application of statistical methods and their interface with other quantitative methods, such as computational and mathematical methods, in biological and life science, health science, and biopharmaceutical and biotechnological science. SIB publishes scientific papers and review articles in four sections, with the first two sections as the primary sections. Original Articles publish novel statistical and quantitative methods in biosciences. The Bioscience Case Studies and Practice Articles publish papers that advance statistical practice in biosciences, such as case studies, innovative applications of existing methods that further understanding of subject-matter science, evaluation of existing methods and data sources. Review Articles publish papers that review an area of statistical and quantitative methodology, software, and data sources in biosciences. Commentaries provide perspectives of research topics or policy issues that are of current quantitative interest in biosciences, reactions to an article published in the journal, and scholarly essays. Substantive science is essential in motivating and demonstrating the methodological development and use for an article to be acceptable. Articles published in SIB share the goal of promoting evidence-based real world practice and policy making through effective and timely interaction and communication of statisticians and quantitative researchers with subject-matter scientists in biosciences.

The journal aims to influence practice in medicine and its associated sciences through the publication of papers on statistical and other quantitative methods. Papers will explain new methods and either demonstrate their application, preferably through a substantive, real, motivating example or a comprehensive evaluation based on an illustrative example. Alternatively, papers will report on case-studies where creative use or technical generalizations of established methodology is directed towards a substantive application. Reviews of, and tutorials on, general topics relevant to the application of statistics to medicine will also be published. The main criteria for publication will be appropriateness of the statistical methods to a particular medical problem and clarity of exposition. Papers with primarily mathematical content will be excluded. The journal aims to enhance communication between statisticians, clinicians and medical researchers.

Publication office: Taylor & Francis, Inc., 325 Chestnut Street, Suite 800, Philadelphia, PA 19106.

2008 Impact Factor: 0.642Ranking: 70/92 in Statistics & Probability2008 5-Year Impact Factor: 0.892 169;2009 Thomson Reuters, 2008 Journal Citation Reports174;Stochastic Models is devoted to the theory and applications of probability as they arise in the modeling of phenomena in the natural sciences and technology. It presents contributions on the mathematical methodology, from structural, analytical, and algorithmic to experimental approaches. It offers an interdisciplinary presentation on the uses of probability theory and discusses practical applications of stochastic models to diverse areas such as biology, computer science/telecommunications modeling, inventories and dams, reliability, storage, queuing theory, and operations research.Publication office: Taylor & Francis, Inc., 325 Chestnut Street, Suite 800, Philadelphia, PA 19106.

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

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.

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.

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.

Structural and Multidisciplinary Optimization ·        explores a wide range of topics dealing with optimization in solid (structural) and fluid mechanics (including CFD)·        covers multidisciplinary optimization when one discipline deals with structures or fluids·        examines closely related fields that are relevant to structural or fluid optimization·        is the official journal of the International Society of Structural and Multidisciplinary Optimization (ISSMO)The journal’s scope ranges from mathematical foundations of the field to algorithm and software development, and from benchmark examples to case studies of  practical applications in structural, aero-space, mechanical, civil, chemical, naval and bio-engineering. Fields such as computer-aided design and manufacturing, reliability analysis, artificial intelligence, system identification and modeling, inverse processes, computer simulation, bio-mechanics, bio-medical applications, nano-technology, MEMS, op

Studia Logica publishes original papers on various logical systems, which utilize methods of contemporary formal logic, such as those of algebra, model theory, proof theory and others. More specifically, the journal offers articles on topics in general logic (as defined in 1991 Mathematical Subject Classification) and on applications of logic to other branches of knowledge such as philosophy, the methodology of science or linguistics. The distinctive feature of Studia Logica is its series of monothematic issues edited by outstanding scholars and devoted to important topics of contemporary logic or covering significant conferences. This journal is also intended as an East-West link, inspiring discussion among researchers and scholars in distant places.A special rate for the members of the Association for Symbolic Logic is available. For more information, please contact: Association for Symbolic LogicBox 742 Vassar College124 Raymond AvenuePoughkeepsie, NY 12604, USAFax: 845-437-7830asl@vassar.eduWWW: aslonline

The journal publishes original papers in English, French, German and Russian, mainly in functional analysis, abstract methods of mathematical analysis and probability theory. Usually 3 issues constitute a volume.

The journal publishes original research papers on various fields of mathematics, e.g. algebra, approximation theory, combinatorics, differential equations, functional analysis, geometry, information theory, number theory, numerical methods, probability, mathematical statistics, statistical physicsand topology. Articles on applications are also accepted.

Studies in Applied Mathematics explores the interplay between mathematics and the applied disciplines. Contributors report research results involving the core concepts of applied mathematics research, including propagation, equilibrium, stability, optimization, and discrete and random processes. These come from a range of related fields, including computer science, mechanics, astrophysics, geophysics, and high-energy physics, and often involve statistics, probability, combinatorics, numerical analysis, and fluid dynamics.