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Journal Details

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Journal of Applied Statistics

Journal of Applied Statistics


Published By: Taylor & Francis
Volume Number: 38
Frequency: 12 issues per year
Print ISSN: 0266-4763
Online ISSN: 1360-0532
 

Aims & Scope

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.
 
2010 5-year Impact Factor: 0.449
©2011 Thomson Reuters, 2010 Journal Citation Reports®

Gopal Kanji Prize
From 2008, the ‘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 £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 Policy
All published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent expert referees.
 
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Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) 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.
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