As of 2008 no longer published by Elsevier.

ISSN 0003-486X · EMIS Electronic EditionEdited by:Charles Fefferman, Princeton UniversityPhillip Griffiths, The Institute for Advanced StudyRobert MacPherson, The Institute for Advanced StudyJohn N. Mather, Princeton UniversityPeter Sarnak, Princeton UniversityAndrew Wiles, Princeton UniversityThe Annals of Mathematics is published bimonthly with the cooperation of Princeton University and the Institute for Advanced Study. Founded in 1884 by Ormond Stone of the University of Virginia, the journal was transferred in 1899 to Harvard University, and in 1911 to Princeton University. Since 1933, the Annals has been edited jointly by Princeton University and The Institute for Advanced Study.

Visit the editors page The Australian & New Zealand Journal of Statistics publishes original articles in the following categories: Applications: Papers demonstrate the application of statistical methods to problems faced by users of statistics. A particular focus is the application of newly developed statistical methodology to real data and the demonstration of better use of established statistical methodology in an area of application. Theory & Methods: Papers make a substantive and original contribution to the theory and methodology of statistics, econometrics or probability. A special focus is given to papers motivated by, and illustrated with, real data. Reviews: Papers give an overview of a current area of statistical research which consolidate and reconcile existing knowledge and make judgements about the most promising directions for future work. Historical and General Interest: Papers discuss the history of statistics in Australia and New Zealand, the role of statistical organisations in private and government institutions and the analysis of datasets of general interest.

Aims and Scope Biometrical Journalpublishes papers on statistical methods and their applications in life sciences including medicine. environmental sciences and agriculture. Methodological developments should be motivated by an interesting and relevant problem from these areas. Ideally the manuscript should include a description of the problem and a section detailing the application of the new methodology to the problem. Case studies. review articles and letters to the editors are also welcome. Papers containing only extensive mathematical theory are not suitable for publication inBiometrical Journal. The Editors are supporting reproducible research. Authors are strongly encouraged to submit computer code and data sets used to illustrate new methods. These will be published as supporting information on the journal"s webpage once the paper was accepted for publication. Highlights in 2010 Special issue:Hans van Houwelingen. 40 Years in Biostatistics Highlights in 2011 Special issue: Clinical Epidemiology and Individualized Medicine. Please download the Flyer for more information! ISI Impact Factor: 1.208* * Thomson Reuters Citation Report 2009 ISSN: 0323-3847 (print). 1521-4036 (online) Volume 52. 6 Issues in 2010. How to cite:To make sure that references to this journal are correctly recorded and resolved (for example in CrossRef or ISI Web of Science). please use the following abbreviated title in any citations: 'Biom. J.' (punctuation may vary according to the style of the citing journal).

Biometrika is primarily a journal of statistics in which emphasis is placed on papers containing original theoretical contributions of direct or potential value in applications. From time to time, papers in bordering fields are also published.Biometrika is produced by Oxford University Press on behalf of the Biometrika Trust.

Among the important scientific developments of the 20th century is the explosive growth in statistical reasoning and methods for application to studies of human health. Examples include developments in likelihood methods for inference. epidemiologic statistics. clinical trials. survival analysis. and statistical genetics. Substantive problems in public health and biomedical research have fueled the development of statistical methods. which in turn have improved our ability to draw valid inferences from data. The objective ofBiostatisticsis to advance statistical science and its application to problems of human health and disease. with the ultimate goal of advancing the public"s health. FREE highly downloaded articlesfrom Biometrika and Biostatistics.

Aims and Scope The Canadian Journal of Statistics is the official journal of the Statistical Society of Canada. It has a reputation internationally as an excellent journal. The editorial board is comprised of statistical scientists with applied, computational, methodological, theoretical and probabilistic interests. Their role is to ensure that the journal continues to provide an international forum for the discipline of Statistics. The journal seeks papers making broad points of interest to many readers, whereas papers making important points of more specific interest are better placed in more specialized journals. The levels of innovation and impact are key in the evaluation of submitted manuscripts. Papers should have an introduction which is accessible to a broad audience and makes a compelling case that an important problem is being tackled. Papers developing new methods should typically include real-data examples, as a route to establishing relevance and applicability. Appendices should be used for technical arguments, so that the main body of the paper is easy to follow. More details of the journal's current editorial policies appear in an Editorial in the March 2007 issue http://archimede.mat.ulaval.ca/cjs/Editorial-2007.pdf.

Publishing high quality papers on subjects related to classical analysis, partial differential equations, algebraic geometry, differential geometry, and topology.

Computational Statistics (CompStat) is an international journal that fosters the publication of applications and methodological research in the field of computational statistics. The journal provides a forum for computer scientists, mathematicians, and statisticians working in a variety of areas in statistics, including biometrics, econometrics, data analysis, graphics, simulation, algorithms, knowledge-based systems, and Bayesian computing. CompStat papers emphasize the contribution to and influence of computing on statistics and vice versa. The journal also publishes hardware, software, and package reports as well as book reviews.Officially cited as: Comput Stat

The Royal Society of Edinburgh (RSE) is Scotland's National Academy.  Its mission is to advance learning and useful knowledge and by doing so it supports the cultural, economic and social well-being of Scotland and its people.  It is not influenced by causes promoted by others and is an important source of independent expertise across the whole range of intellectual, business and public life in Scotland.

The Electronic Journal of Probability publishes full-size research articles in probability theory. The Electronic Communications in Probability (ECP), a sister journal of EJP, publishes short notes and research announcements in probability theory.Both ECP and EJP are official journals of the Institute of Mathematical Statisticsand the Bernoulli society.Both EJP and ECP have been selected for coverage in Thomson ISI® services. Beginning with Volume 9 (2004), information on the contents of these two Journals are indexed in: * Science Citation Index Expanded®* ISI Alerting Services®* CompuMath Citation Index®* Current Contents®/Physical, Chemical, and Earth Sciences®This Journal has several mirror sites, which may not always be most current. The master site is located at the Department of Mathematics, University of Washington, Seattle, USA which carries the most updated version.

The Electronic Journal of Statistics (EJS) publishes research articles and short notes on theoretical, computational and applied statistics. The journal is open access. Articles are refereed and are held to the same standard as articles in other IMS journals. Articles become publicly available shortly after they are accepted.

Environmental and Ecological Statistics broadly covers theory and methods, case studies and applications, environmental change and statistical ecology, environmental health statistics and stochastics, and related areas. Special features include invited discussion papers; research communications; technical notes and consultation corner; mini-reviews; letters to the Editor; news; views and announcements; hardware and software reviews; data management, etc.