Journal Guide

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 Biopharmaceutical Statistics, a rapid publication journal, discusses quality applications of statistics in biopharmaceutical research and development. Now publishing six times per year, it includes expositions of statistical methodology with immediate applicability to such work in the form of full-length and short manuscripts, review articles, selected/invited conference papers, short articles, and letters to the editor. Addressing timely and provocative topics important to the biostatistical profession, the journal covers: * drug, device, and biological research and development * drug screening and drug design * assessment of pharmacological activity * pharmaceutical formulation and scale-up * preclinical safety assessment * bioavailability, bioequivalence, and pharmacokinetics * phase, I, II, and III clinical development * premarket approval assessment of clinical safety * postmarketing surveillance Publication office: Taylor & Francis, Inc., 325 Chestnut Street, Suite 800, Philadelphia, PA 19106.

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 multidisciplinary Journal of Complexity publishes original research papers that contain substantial mathematical results on complexity as broadly conceived. Outstanding review papers will also be published. In the area of computational complexity, the focus is on complexity over the reals, with the emphasis on lower bounds and optimal algorithms. The Journal of Complexity also publishes articles that provide major new algorithms or make important progress on upper bounds. Other models of computation, such as the Turing machine model, are also of interest. Computational complexity results in a wide variety of areas are solicited.Areas Include:• Approximation theory• Biomedical computing• Compressed computing and sensing• Computational finance• Computational number theory• Computational stochastics• Control theory• Cryptography• Design of experiments• Differential equations• Discrete problems• Distributed and parallel computation• High and infinite-dimensional problems• Information-based complexity• Inverse and ill-posed problems• Machine learning• Markov chain Monte Carlo• Monte Carlo and quasi-Monte Carlo• Multivariate integration and approximation• Noisy data• Nonlinear and algebraic equations• Numerical analysis• Operator equations• Optimization• Quantum computing• Scientific computation• Tractability of multivariate problems• Vision and image understandingBenefits 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 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.

We are pleased to announce that an electronic submission and handling system, EES, has been implemented for Journal of Informetrics. This 'Elsevier Editorial System' (or EES) is a web-based system with full online submission, review and status update capabilities. EES allows you to upload files directly from your computer. This is all part of our ongoing efforts to improve the efficiency and accuracy of our editorial procedures and the quality and timeliness of the manuscripts published. EES can be accessed at: http://ees.elsevier.com/joi/ where first time users will have to register.Journal of Informetrics (JOI) publishes refereed articles on fundamental quantitative aspects of information science. The journal, although limited to -metrics aspects, has a broad scope: in principle, all quantitative analysis of original problems in information science are within the scope of JOI. Besides its generality, Journal of Informetrics focusses on papers describing fundamental methods and theories and/or universally important data, gathered in a non-trivial way. Fundamental methods comprise mathematical, probabilistic or statistical models and techniques as well as methods in operational research. These methods can serve the quantitative explanation of certain phenomena, evaluation of information and its producers as well as the management of libraries and other information centres.Journal of Informetrics has a special (though not exclusive) interest in inter- and multi-disciplinary papers, dealing with common aspects of (or possible differences between) several neighbouring disciplines such as quantitative linguistics, econometrics, biometrics and other -metrics fields. The aim is to lower the barriers between these fields, hence avoiding reformulation of similar problems, theories and solutions. Journal of Informetrics also welcomes certain papers from researchers who do not consider themselves as informetrists, for example research papers would be considered on the graph-theoretic description of networks.Journal of Informetrics also publishes papers that improve standardisation in informetrics. In general the journal aims to contribute to increasing the degree of "hardness" of the field, and to increase the degree of "exactness" of the scientific field of informetrics.The journal covers informetrics and considers it to comprise (or at least to include) fields such as bibliometrics, scientometrics, webometrics and cybermetrics. Specific topics can be described (non-exhaustively) as follows: informetric laws (including, but not exclusively: Lotka, Zipf, Bradford, Mandelbrot but also laws of growth and ageing or obsolescence) hereby also modelling generalised bibliographies, aspects of inequality or concentration (e.g. Lorenz theory) and diffusion, citation theory, linking theory, downloads, indicators (definitions and properties), evaluation techniques for scientific output (literature, persons) and for documentary systems (information retrieval) incl. ranking theory, library management, graph-theoretic and topological analysis of networks (incl. Internet, intranets, citation and collaboration networks), visualisation and mapping of science (persons, fields, institutes, topics,...).

The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines. The journal will publish original articles on current and potential applications, case studies, and education in intelligent systems, fuzzy systems, and web-based systems for engineering and other technical fields in science and technology. The journal focuses on the disciplines of computer science, electrical engineering, manufacturing engineering, industrial engineering, chemical engineering, mechanical engineering, civil engineering, engineering management, bioengineering, and biomedical engineering. The scope of the journal also includes developing technologies in mathematics, operations research, technology management, the hard and soft sciences, and technical, social and environmental issues.

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Current developments in new image processing hardware, the advent of multisensor data fusion, and rapid advances in vision research have led to an explosive growth in the interdisciplinary field of imaging science. Emphasizing the role of mathematics as a rigorous basis for imaging science, this journal details innovative or established mathematical techniques applied to vision and imaging problems in a novel way. It also reports on new developments and problems in mathematics arising from these applications. The scope of Journal of Mathematical Imaging and Vision includes: - computational models of vision; imaging algebra and mathematical morphology - mathematical methods in reconstruction, compactification, and coding - filter theory - probabilistic, statistical, geometric, topological, and fractal techniques and models in imaging science - inverse optics - wave theory. This journal contains research articles, invited papers, and expository articles.

Journal of Mathematical Sciences integrates authoritative reports on current mathematical advances from outstanding Russian-language publications. Articles cover a wide range of topics, including mathematical analyses, probability, statistics, cybernetics, algebra, geometry, mathematical physics, wave propagation, stochastic processes, boundary value problems, linear operators, and number and function theory. The journal is a valuable resource for pure and applied mathematicians, statisticians, systems theorists and analysts, and information scientists. To submit articles to the Russian publications please see the Instructions for Authors (right hand side).

A central medium for the publication of important research in the general area of multivariate analysis, the Journal of Multivariate Analysis presents articles on fundamental theoretical aspects of the field as well as on other aspects concerned with significant applications of new theoretical methods. Although articles addressing univariate analysis are considered for publication, particular attention is given to papers that discuss problems concerned with more than one variable.In addition to helping to stimulate research in multivariate analysis, the journal aims to bring about interactions among mathematical statisticians, probabilists, and scientists in other disciplines broadly interested in the area.Research Areas Include:• Asymptotic theory• Bayes models• Cluster analysis• Decision theory• Discriminant analysis• Distributions and tests• Estimation• Factor analysis• Limit laws• Measures of association• Multidimensional scaling and general multivariate methods• Multivariate ANOVA• Sequential analysis• Stochastic analysis and inference• Testing of hypothesis• Time series

Journal of Nonparametric Statistics provides a medium for the publication of research and survey work in nonparametric statistics and related areas. The scope includes, but is not limited to the following topics: Nonparametric modelingNonparametric function estimationRank and other robust and distribution-free proceduresResampling methodsLack-of-fit testingMultivariate analysisInference with high-dimensional dataDimension reduction and variable selectionMethods for errors in variables, missing, censored, and other incomplete data structuresInference of stochastic processesSample surveysTime series analysisLongitudinal and functional data analysisNonparametric Bayes methods and decision proceduresSemiparametric models and proceduresStatistical methods for imaging and tomographyStatistical inverse problemsFinancial statistics and econometricsBioinformatics and comparative genomicsStatistical algorithms and machine learning.Both the theory and applications of nonparametric statistics are covered in the journal. Research applying nonparametric methods to medicine, engineering, technology, science and humanities is welcomed, provided the novelty and quality level are of the highest order. Authors are encouraged to submit supplementary technical arguments, computer code, data analysed in the paper or any additional information for online publication along with the published paper. 2009 5-year Impact Factor: 0.594169; 2010 Thomson Reuters, 2009 Journal Citation Reports174;All 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.

Subject Coverage Publishing 50 issues a year, Journal of Physics A: Mathematical and Theoretical is a major journal of theoretical physics reporting research on the mathematical structures that describe fundamental processes of the physical world and on the analytical, computational and numerical methods for exploring these structures. Mathematical papers should be clearly motivated by actual or potential application to physical phenomena.

Research papers in the journal are published in one of the following six sections: Statistical physics: nonequilibrium systems, computational methods and modern equilibrium theory; Biological modelling; Nonlinear physics and waves; Mathematical physics; Quantum mechanics and quantum information theory and Field theory and string theory

Journal of Probability and Statistics is a peer-reviewed, open access journal that publishes original research articles as well as review articles in all areas of probability and statistics.

Journal of Statistical Computation and Simulation publishes significant and original work in areas of statistics which are related to or dependent upon the computer.Fields covered include computer algorithms related to probability or statistics, studies in statistical inference by means of simulation techniques, and implementation of interactive statistical systems.2009 5-year Impact Factor: 0.517169; 2010 Thomson Reuters, 2009 Journal Citation Reports174; All 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.

Journal of Statistical Mechanics: Theory and Experiment (JSTAT) covers all aspects of statistical physics, including experimental work that impacts on the subject.

The Journal of Statistical Planning and Inference offers itself as a multifaceted and all-inclusive bridge between classical aspects of statistics and probability, and the emerging interdisciplinary aspects that have a potential of revolutionizing the subject. While we maintain our traditional strength in statistical inference, design, classical probability, and large sample methods, we also have a far more inclusive and broadened scope to keep up with the new problems that confront us as statisticians, mathematicians, and scientists.We publish high quality articles in all branches of statistics, probability, discrete mathematics, machine learning, and bioinformatics. We also especially welcome well written and up to date review articles on fundamental themes of statistics, probability, machine learning, and general biostatistics. Thoughtful letters to the editors, interesting problems in need of a solution, and short notes carrying an element of elegance or beauty are equally welcome.We want to serve as the broadest international platform for high quality research on every aspect of our field, traditional and cutting edge. The quality and the breadth of our editorial board reflects that singular priority.

Since 1960, IUPAC has made available to chemists everywhere a large amount of important chemical information published in the journal .