Journal Guide

The Journal of Theoretical Biology is the leading forum for theoretical perspectives that give insight into biological processes. It covers a very wide range of topics and is of interest to biologists in many areas of research, including:• Cell Biology• Developmental Biology• Ecology• Evolution• Immunology• Infectious Diseases• Mathematical Modeling, Statistics, and Data Bases• Medical Sciences and Plant Pathology• Microbiology, Molecular Biology, and Biochemistry• PhysiologyPlease note that the biological significance of the problem being studied should be clearly stated.Acceptable papers are those that bear significant importance on the biology being presented, and not on the mathematical analysis, per se. Papers that include some data will be considered, including those that contain comparative study, statistical data analysis, mathematical proof, computer simulations, experiments, field observations, or even philosophical arguments, which are all methods to support or reject theoretical ideas. However, there should be a concerted effort to make papers intelligible to biologists in the chosen field.Highly speculative papers not based on current biological knowledge will not be accepted. Also not acceptable are papers in which only mathematics is utilized, or standard statistical methods are applied to existing genomic data, without new theoretical perspective or biologically novel insight.Comment on theoretical issues or on papers published in the journal is welcomed in the form of Letters to the Editors.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 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 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.

The Journal of the Korean Statistical Society publishes research articles that make original contributions to the theory and methodology of statistics and probability. It also welcomes papers on innovative applications of statistical methodology, as well as papers that give an overview of current topic of statistical research with judgements about promising directions for future work. The journal welcomes contributions from all countries.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

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.

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 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.

Founded in 1920 by Corrado Gini, METRON presents original articles on statistical methodology and statistical applications, as well as discussions of results achieved by statistical methods encompassing many branches of science. .

This leading international journal publishes research and expository papers on the formulation, analysis and solution of mathematical models in the biosciences. The journal serves both mathematicians involved in solving model equations or in reaching conclusions that are testable in the real world, and biologists who are interested in forming mathematical models of biological processes and systems.Please bookmark this page as: http://www.elsevier.com/locate/mbsFor more information/suggestions/comments please contact AuthorSupport@elsevier.comBenefits 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

The journal is dedicated to the mathematical foundations of statistical theory. It primarily publishes research papers with complete proofs and, occasionally, survey papers on particular fields of statistics. Papers dealing with applications of statistics are also published if they contain new theoretical developments to the underlying statistical methods. The journal provides an outlet for research in advanced statistical methodology and for studies where such methodology is effectively used or which stimulate its further development.

The primary objective of the journal is to provide a forum for work in finance which expresses economic ideas using formal mathematical reasoning. The work should have real economic content and the mathematical reasoning should be new and correct.

Methodology and Computing in Applied Probability publishes high quality research and review articles in areas of applied probability that emphasize methodology and computing. The journal focuses on articles that examine important applications and that include detailed case studies. With its policy of attracting papers representing a broad range of interests, the journal covers such topics as algorithms, approximations, combinatorial and geometric probability, communication networks, extreme value theory, finance, image analysis, inequalities, information theory, mathematical physics, molecular biology, Monte Carlo methods, order statistics, queuing theory, reliability theory, and stochastic processes.

Metrika is an international journal in the field of theoretical and applied statistics. The journal publishes original research papers that explore mathematical statistics and statistical methods. Papers emphasize new developments in theoretical statistics and the applicability of proposed statistical methods and results. Each issue of Metrika also contains a section of book reviews.Officially cited as: Metrika