Applied Stochastic Models in Business and Industry
Author Guidelines
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Author Guidelines
General
Applied Stochastic Models in Business and Industry (formerly Applied Stochastic Models in 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.
Papers must clearly be of scientific value in the field and will be submitted to two independent referees. Contributions must be in English and must not have been published elsewhere, and authors must agree not to communicate the same material for publication to any other journal. It is in the author's interest to ensure accurate and consistent presentation and thus avoid publication delays. There are no page charges.
Open Access
Open Access is available to authors of primary research articles who wish to make their article available to non-subscribers on publication, or whose funding agency requires grantees to archive the final version of their article. With Open Access the author, the author's funding agency, or the author's institution pays a fee to ensure that the article is made available to non-subscribers upon publication via Wiley Online Library, as well as deposited in the funding agency's preferred archive. In addition to publication online via Wiley Online Library, authors of Open Access articles are permitted to post the final, published PDF of their article on a website, institutional repository or other free public server, immediately on publication.
Data Protection
By submitting a manuscript to or reviewing for this publication, your name, email address, and affiliation, and other contact details the publication might require, will be used for the regular operations of the publication, including, when necessary, sharing with the publisher (Wiley) and partners for production and publication. The publication and the publisher recognize the importance of protecting the personal information collected from users in the operation of these services, and have practices in place to ensure that steps are taken to maintain the security, integrity, and privacy of the personal data collected and processed. You can learn more at https://authorservices.wiley.com/statements/data-protection-policy.html.
Data Policy
Applied Stochastic Models in Business and Industry expects that data supporting the results in the paper will be archived in an appropriate public repository. Whenever possible the scripts and other artefacts used to generate the analyses presented in the paper should also be publicly archived. Exceptions may be granted at the discretion of the editor for sensitive information such as human subject data or the location of endangered species. Authors are expected to provide a data accessibility statement, including a link to the repository they have used, to accompany their paper.
Visit re3data.org or fairsharing.org to help identify registered and certified data repositories relevant to your subject area.
Wiley journals require data to be cited in the same way as article, book, and web citations and authors are required to include data citations as part of their reference list.
More information about the Data Sharing Policy can be found here.
Manuscript Submission
All papers must be submitted via the online system. Applied Stochastic Models in Business and Industry operates an online submission and peer review system that allows authors to submit articles online and track their progress via a web interface. Please read the remainder of these instructions to authors and then visit https://wiley.atyponrex.com/journal/ASMB.
IMPORTANT: Please check whether you already have an account in the system before trying to create a new one. If you have reviewed or authored for the journal in the past year it is likely that you will have had an account created.
Applied Stochastic Models in Business and Industry now offers Free Format submission for a simplified and streamlined submission process.
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