Journal Guide

Accounting, Organizations & Society is a major international journal concerned with all aspects of the relationship between accounting and human behaviour, organizational structures and processes, and the changing social and political environment of the enterprise. Its unique focus covers such topics as: the social role of accounting, social accounting, social audit and accounting for scarce resources; the provision of accounting information to employees and trade unions and the development of participative information systems; processes influencing accounting innovations and the social and political aspects of accounting standard setting; behavioural studies of the users of accounting information; information processing views of organizations, and the relationship between accounting and other information systems and organizational structures and processes; organizational strategies for designing accounting and information systems; human resource accounting; cognitive aspects of accounting and decision-making processes, and the behavioural aspects of budgeting, planning and investment appraisal.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

Advances in Operations Research is a peer-reviewed, open access journal that publishes original research articles as well as review articles in all areas of operations research.

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.

The Annals of Operations Research publishes peer-reviewed original articles dealing with key aspects of operations research, including theory, practice, and computation. The journal publishes full-length research articles, short notes, expositions and surveys, reports on computational studies, and case studies that present new and innovative practical applications. In addition to regular issues, the journal publishes periodic special volumes that focus on defined fields of operations research, ranging from the highly theoretical to the algorithmic and the applied. These volumes have one or more Guest Editors who are responsible for collecting the papers and overseeing the refereeing process.Officially cited as: Ann Oper Res

Applied Stochastic Models in Business and Industry (formerly Applied Stochastic Models and Data Analysis ) was first published in 1985, publishing contributions in the interface between stochastic modelling, data analysis and their applications in business, finance, insurance, management and production. The main objective is to publish papers, both technical and practical, presenting new results which solve real-life problems or have great potential in doing so. A second objective is to present new methods for solving such problems, i.e. optimization, data base management, knowledge acquisition, expert systems, computer-aided decision supports and neural computing. The scope of the journal is now broadened both in supporting topics and in appropriate methodology. Topics to be added include managerial processes, reliability, quality control, data analysis and data mining. New methodologies include wavelets, Markov-chain Monte Carlo methods and spatial statistics.

The Asia-Pacific Journal of Operational Research (APJOR) provides a forum for practitioners, academics and researchers in Operational Research and related fields, within and beyond the Asia-Pacific region.Participating SocietiesAustralian Society for Operations ResearchOperations Research Society of ChinaHong Kong Operational Research SocietyOperational Research Society of IndiaThe Operations Research Society of JapanKorean Operations Research and Management Science SocietyManagement Science/ Operations Research Society of MalaysiaOperational Research Society of New Zealand (Inc.)Operations Research Society of the PhilippinesOperational Research Society of SingaporeAPJOR will place submissions in one of the following categories: General, Theoretical, OR Practice, Reviewer Survey, OR Education, and Communications (including short articles and letters). Theoretical papers should carry significant methodological developments. Emphasis is on originality, quality and importance, with particular emphasis given to the practical significance of the results. Practical papers, illustrating the application of Operation Research, are of special interest.

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.

The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic.The journal will accept papers on foundational aspects in dealing with big data, as well as papers on specific Platforms and Technologies used to deal with big data. To promote Data Science and interdisciplinary collaboration between fields, and to showcase the benefits of data driven research, papers demonstrating applications of big data in domains as diverse as Geoscience, Social Web, Finance, e-Commerce, Health Care, Environment and Climate, Physics and Astronomy, Chemistry, life sciences and drug discovery, digital libraries and scientific publications, security and government will also be considered. Occasionally the journal may publish whitepapers on policies, standards and best practices.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.

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.