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.

Journal of Applied Statistics includes a supplement on Advances in Applied Statistics. Each annual edition of the supplement aims to provide a comprehensive and modern account of a subject at the cutting edge of applied statistics. Individual articles and entire thematic issues are invited and commissioned from authors in the forefront of their speciality, linking established themes to current and future developments.

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. 
Further Information

Change in Editorship for 2008
We are pleased to announce that Dr Robert G Aykroyd will be taking over from Professor Gopal Kanji as Editor of the Journal of Applied Statistics from 1st January 2008.

Peer Review Policy:
All articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous double-blind review.