期刊名称:JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY

ISSN:0964-1998
版本:SCI-CDE
出版频率:Quarterly
出版社:WILEY, 111 RIVER ST, HOBOKEN, USA, NJ, 07030-5774
  出版社网址:http://as.wiley.com/WileyCDA/Section/index.html
期刊网址:http://www.wiley.com/bw/journal.asp?ref=0964-1998
影响因子:2.483
主题范畴:STATISTICS & PROBABILITY

期刊简介(About the journal)    投稿须知(Instructions to Authors)    编辑部信息(Editorial Board)   



About the journal

 

 FREE ARTICLE - We are pleased to offer free online access to the following article.

Using success to measure quality in British higher education: which subjects attract the best-qualified students?
Derek Leslie

 Restructuring the Journal of the Royal Statistical Society
As a result of a publications review by the Royal Statistical Society, a major restructuring of the Journal will take effect from the beginning of 2004. Click here for further information.

Statistics in Society publishes papers that demonstrate how statistical thinking, design and analyses play a vital role in all walks of life and benefit society in general. There is no restriction on subject matter. For example, medicine, business and commerce, industry, economics and finance, education and teaching, physical and biomedical sciences, the environment, the law, government and politics, demography, psychology, sociology and sport, all fall within its remit.

The journal's emphasis is on clearly written quantitative approaches to problems in the real world rather than the exposition of technical detail. Of particular interest are papers on topical or contentious statistical issues, papers which give reviews or expos¨¦s of current statistical concerns and papers contributing to our understanding of important substantive questions. Historical, professional and biographical contributions are also published, as are discussions of methods of data collection and of ethical issues.

Issue on Risk
The June 2003 issue of Statistics in Society carried a collection of short papers on the communication of risk. To assist in the wider appreciation of the issues raised a short commentary on the papers has been commissioned from the well-known science writer Geoff Watts. You can find the commentary on the RSS website.

Datasets relating to articles published in the four series of the Journal of the Royal Statistical Society are available online.

 

 


Instructions to Authors

A complete LATEX style file for DOS for submissions to this journal is available to download as a zip archive (92 KB) but it is not compulsory to use it: http://www.blackwellpublishing.com/pdf/RSSstylefile.zip

Click here to download the style guide in PDF format.

Disclosure of financial and other interests
Some journals have policies requiring authors of submitted papers to declare potential conflicts of interest. The purpose is not to remove the conflict but to publicise it, and to allow readers to form their own conclusions on whether any conflict of interest exists. For many of the papers submitted to the Journal of the Royal Statistical Society this is unlikely to be an issue. However, such interests may take many forms, including financial considerations and situations where one or more of the authors have acted as consultants or advisors (paid or otherwise) to a project relevant to the submitted paper. This does not imply that there is anything wrong with holding such interests or that research published by authors with such interests is thereby compromised. With the aim of encouraging transparency and accountability, however, authors of material submitted to the Journal of the Royal Statistical Society are asked to disclose any financial or other interest that may be relevant and/or would prove an embarrassment if it were to emerge after publication and they had not declared it. The appropriate place for such disclosures is in the covering letter to the Editor. At the Editor's discretion, this information may be printed at the end of the paper if it is published.

General
1. Manuscripts must be original contributions and should be submitted exclusively to

The Executive Editor
The Royal Statistical Society
12 Errol Street
London
EC1Y 8LX
UK
Tel: +44 (0)20 7614 3914
E-mail: journal@rss.org.uk

2. Manuscripts submitted in electronic form are encouraged. They can either be sent by e-mail to the above address as .ps or .pdf file attachments or retrieved by us by notification of their availability from a Web location (which will not be disclosed further). If accepted for publication, the source file of the final version will be required, preferably LATEX or TEX (Word files might also be suitable), but these forms or the .dvi derivatives should not be supplied for initial submission.

3. Alternatively, five paper copies should be posted to the above address.

4.  In either case, a covering message or letter should accompany the paper, giving full contact details of the author for correspondence and any other information that is relevant to the submission. If the paper is to be considered for reading at an Ordinary Meeting of the Society, this should be clearly indicated.

5. A short summary of about 100 words must be included at the beginning of the manuscript, together with 5 or 6 keywords or phrases to describe the content of the paper.

6. The author to whom proofs are to be sent and full postal and e-mail addresses must be clearly stated on the title page. No new material may be introduced at the proof-reading stage.

7. Illustrations and tables can be either embedded within the text or supplied separately at the end of the manuscript. All illustrations (and tables) should be referred to sequentially in the text.

8. References should not be numbered but should be standardised as follows:

(a) in the text, only the authors' surnames should be given, followed by the year of publication in parentheses (for three or more authors, only the first surname should be given, followed by et al.; the abbreviations ibid., op. cit. and loc. cit. are not used);

(b) at the end of the paper, the references should be listed in alphabetical order of surnames.

Examples for a paper in a journal, a book and a paper at a conference are:

Molli¨¦, A. and Richardson, S. (1991) Empirical Bayes estimates of cancer mortality rates using spatial models. Statist. Med. , 10, 95-112.
McCullagh, P. and Nelder, J. A. (1989) Generalized Linear Models, 2nd edn. London: Chapman and Hall.
Pregibon, D. (1983) Score tests in GLIM with applications. In GLIM 82: Proc. Int. Conf. Generalised Linear Models (ed. R. Gilchrist), pp. 87-97. New York: Springer.

9. Mathematical equations should be typed on separate lines, numbered consecutively and punctuated in the usual way. Matrixes should be indicated by italics and vectors by bold. The development of mathematical expressions, if necessary, should be presented in appendixes with only the relevant equations stated in the main text. The order of brackets in nested expressions is [{()}].

10. Correspondence for publication relating to papers should be received within one year of publication of the original article. Letters should be typed with double spacing and limited to 400 words. The Editors reserve the right to shorten letters.

For further information or advice contact the Executive Editor at the Society's address.
Editorial Board

 

Editors

N.G. Best, Imperial College School of Medicine, London, UK
Phone: + 44 (0)20 7638 8998
Fax: + 44 (0)20 7614 3905
Email: journal@rss.org.uk

P. Lynn, University of Essex, Colchester, UK
Phone: + 44 (0)20 7638 8998
Fax: + 44 (0)20 7614 3905
Email: journal@rss.org.uk

Book Reviews Editor
Dr John Haigh, University of Sussex, Brighton, UK
Tel:  + 44 (0) 1273 678104
Fax: + 44 (0 1273 678097

Editorial Panel
A. Agresti, University of Florida, Gainsville, USA
B. Armstrong, London School of Hygiene and Tropical Medicine, UK
J. Bethlehem, Statistics Netherlands, Voorburg, The Netherlands
S. Day, Medicines Control Agency, London, UK
P. Dolton, University of Newcastle, UK
A. Fielding, University of Birmingham, UK
B. J. Francis, Lancaster University, UK
E. J. T. Goetghebeur, University of Ghent, Belgium
A. Heath, Nuffield College, Oxford, UK
P. G. M. van der Heijden, University of Utrecht, The Netherlands
P. R. A. Hinde, University of Southampton, UK
J. Martin, Office for National Statistics, London, UK
M. Stewart, University of Warwick, Coventry, UK


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