© 2014 John Wiley & Sons Ltd.
Editor-in-Chief: Nicholas Fisher
Online ISSN: 2049-1573
Aims and Scope
Stat is an innovative electronic journal for the rapid publication of novel and topical research results, publishing compact articles of the highest quality in all areas of statistical endeavour. Its purpose is to provide a means of rapid sharing of important new theoretical, methodological and applied research. Stat is a joint venture between the International Statistical Institute and Wiley-Blackwell.
Stat is characterised by:
• Speed - a single-pass, high-quality review process that aims to publish within 30 days of submission. There is no revision cycle.
• Concision - a maximum article length of 10 pages of text, not including references.
• Supporting materials - inclusion of electronic supporting materials including graphs, video, software, data and images.
• Scope – addresses all areas of statistics and interdisciplinary areas
Stat is a scientific journal for the international community of statisticians and researchers and practitioners in allied quantitative disciplines.
Statisticians and those using statistics.
Those with an interest in: data mining, machine learning, financial mathematics, epidemiology, computer science, bioinformatics, medical statistics, econometrics, financial mathematics, business, finance, operations research, decision science, environmetrics, image analysis, image processing.
Members of the International Statistical Institute and its associations.
Members of other well known statistics societies, e.g. IMS, RSS, ASA, IBS etc.
Those with an interest in fast moving areas of research, e.g. bioinformatics and data mining.
Researchers and statisticians in academic research worldwide.
Researchers and statisticians working in the corporate and government sectors worldwide.
Practitioners of statistics worldwide.
Younger members of the statistics community.
statistics, data mining, machine learning, financial mathematics, epidemiology, computer science, bioinformatics, medical statistics, econometrics, financial mathematics, business, finance, operations research, decision science, environmetrics, image analysis, image processing, machine learning, artificial intelligence, spatial statistics, psychometrics, actuarial sciences, computer science.
Abstracting and Indexing Information
- Current Index to Statistics (ASA/IMS)
- Mathematical Reviews/MathSciNet/Current Mathematical Publications (AMS)