期刊名称：STATISTICAL MODELLING
 期刊简介(About the journal)
投稿须知(Instructions to Authors)
编辑部信息(Editorial Board)
About the journal
Aims & Scope
Relevant to a wide range of application areas, Statistical Modelling is used by statisticians and researchers in many other fields. Statistical Modelling is the first interdisciplinary journal to take statistical modelling as its defining focus and to incorporate contributions from non-statisticians working in related fields. The journal contains articles from the leading researchers and practitioners in fields as varied as economics, psychology, medicine and statistics. The practical and applicable nature of Statistical Modelling will be reflected in the online provision of software and datasheets to accompany the text articles.
Why subscribe to Statistical Modelling?
Full-text journal is available online
Peer reviewed by leading researchers
International advisory board - ensures the journal's world-wide relevance
Data and additional software available online
Provides an interactive forum for feedback and discussion
This highly practical journal includes articles and reviews from all disciplines on:
Important methodological developments, extensions and applications of statistical modelling
Practical applications using new techniques and adapting existing modelling techniques
Reviews and tutorials on recent and cutting edge topics in statistical modelling
A practical journal, Statistical Modelling presents the latest contributions from leading researchers and practitioners.
Instructions to Authors
Notes for Authors
Submissions covering the following areas are welcomed:
All material submitted for publication is assumed to be exclusively for Statistical Modelling, and not to have been submitted for publication elsewhere. All authors must assign copyright to Hodder Arnold (by completing the copyright assignment form).
Priority and time of publication are decided by the editors, who maintain the customary right to edit material accepted for publication if necessary.
Aims of the journal
The primary aim of the journal is to publish original and high-quality articles that recognize statistical modelling as the general framework for the application of statistical ideas. Submissions must reflect important developments, extensions, and applications in statistical modelling. The journal also encourages submissions that describe scientifically interesting, complex or novel statistical modelling aspects from a wide diversity of disciplines, and submissions that embrace the diversity of applied statistical modelling.
An important objective and exciting feature of the journal is that the reader should be able to reproduce the results presented in published articles, apply the published techniques to their own problems, and even develop their own extensions of the methodology. To achieve this authors are strongly encouraged to make data and software available over the Internet through a website linked to the journal. This website will also provide a platform for feedback and discussion on published papers. The website address is http://stat.uibk.ac.at/SMIJ
The journal aims to be the major resource for statistical modelling, covering both methodology and practice. Its goal is to be multidisciplinary in nature, promoting the cross-fertilization of ideas between substantive research areas, as well as providing a common forum for the comparison, unification and nurturing of modelling issues across different subjects.
The journal will have three main theme:
New Methodology for papers on new statistical modelling ideas. These papers will be based upon a problem of real substantive interest with appropriate data.
Practical Applications for papers on interesting practical problems which are addressed using an existing or a novel adaptation of an existing modelling technique.
Tutorials & Reviews with papers on recent and cutting edge topics in statistical modelling.
Manuscripts
Submission of manuscripts should be electronic wherever possible and LaTeX is the preferred package for document preparation, although other formats are acceptable.
For LaTeX submissions, authors should send the following files:
one LaTeX or ASCII file (without figures);
one Postscript or PDF file of the full version of the paper;
an ASCII file of any data used in the paper and any novel software routines (see below).
For Microsoft WORD submissions, authors should send the following files:
one Microsoft WORD file of the complete paper with figures included at the end ;
an ASCII file of any data used in the paper and any novel software routines (see below).
Files under five megabytes can be sent by email to an editor (ideally zipped and sent as an attachment). Larger files can be submitted by placing them on an FTP or HTTP site and directing an editor to them (again files can be zipped to compress them). Electronic submissions are most preferred and encouraged. In the case that there is difficulty with this, then alternatively authors can send a diskette and one printed copy of the complete manuscript to one of the editors.
Manuscripts should be on A4 or 8?x 11" paper and typed double-spaced. Margins should be at least 25mm on all edges. Normal-sized fonts (12pt) should be used. Pages should be numbered consecutively. LaTeX manuscripts should use the article style and should not use any special macros.
When preparing manuscripts in Microsoft WORD:
Use the minimum formatting.
Roman, bold and italic type can be used, but use only one typeface and size.
Capitals should be used only where they are to appear in the finished text.
The text should be ranged left and unjustified, with hyphenation cancelled.
Indents, underlining and tabs should be avoided unless absolutely necessary.
Headings and paragraphs should be separated by two returns.
There should be only one space between words and only one space after any punctuation.
Authors should include their name and initials, their posts at the time they wrote the manuscript, their current appointments, and their address for correspondence with telephone/fax numbers and email addresses. For papers with several contributors, the order of authorship should be made clear and the 'responsible author' (to whom proofs and offprints will be sent) named.
Papers should normally be no more than 8000 words or 20-25 pages of A4 or 8?x 11" paper in length. Any diagrams or tables should be counted as equivalent to around 200 words or half a page of text. One of the editors should be informed if these limits are likely to be exceeded.
An abstract of up to 200 words should precede the text together with 5 or 6 keywords in alphabetical order to describe the content of the paper. Authors should take great care in preparing the abstract and not simply lift it from the main text. The abstract should describe the background and contribution of the manuscript and give a clear verbal description of the results and examples, and avoid citations whenever possible. Any acknowledgements will be printed at the end of the text.
Style
General:
Abbreviations should be spelled out when first used in the text. Full stops should be used in lower case abbreviations (e.g., i.e.) but not for capitals (SAS, ANOVA). Spelling is to follow the Oxford Dictionary.
Mathematical:
All vectors and matrices should be shown in bold type.
Avoid confusion between ambiguous characters and take care to ensure that subscripts and superscripts are clear.
Numbers below 10 should be written out in the text unless used in conjunction with units (e.g. three apples, 4 kg).
Full points (not commas) should be used for decimals. For numbers less than one, a nought should be inserted before the decimal point.
Use spaces (not commas) within numbers (e.g. 10 000, 0.125 275).
Equations should be numbered sequentially within each main section, e.g. (3.2) for the second equation in section 3, with labels on the right hand side of the page. This is easily done in LaTeX by inserting the following commands in the preamble
\usepackage{amsmath}
\renewcommand{\theequation}{\thesection.\arabic{equation}}
\numberwithin{equation}{section}
Headings and Subheadings:
The use of more than three levels of heading should be avoided. Levels should be formatted as follows:
1 First level heading
1.2 Second level heading
1.2.1 Third level heading
Tables and illustrations
These should have self-explanatory legends and captions. After acceptance of a manuscript, the authors will be required to submit EPS (encapsulated Postscript) or TIFF versions of all figures.
A list of tables and figure captions should be included with the manuscript.
Data and Software
Any data used should be submitted with the manuscript, either as an included table for small datasets or as ASCII files for larger datasets. For published papers this data will be made available on a linked website. If there are confidentiality problems, authors should contact an Editor to work out a solution, which could be the inclusion of an example based on a similar (but artificially simulated) dataset.
Brief information on the software used for any analyses should be included in the paper. Any novel software used in the paper (language source code or macros/routines for standard packages) should also be submitted with the paper, together with driver programs that allow the reader to reproduce the results given in the paper. For published papers this code will also be put on the linked website.
References
The Harvard style should be used for references, with citations in the text giving authors?names and dates of publication, using Hinde (1999) for a direct reference and (Hinde, 1999) for an indirect reference. et al. should be used in citing references where there are more than two authors, so (Smith and Jones, 2000), but (Smith et al., 2000) if there are three or more authors. The references are then listed in full at the end of the article in alphabetical order.
Journal article:
Cleveland, W.S. (1984) Graphs in scientific publications. The American Statistician, 38, 361-69.
Journal titles should be stated in full. List surnames and initials of up to and including four authors (with more than four authors only give the first four then et al.).
Book:
Ehrenberg, A.S.C. (1975) Data reduction: analyzing and interpreting statistical data. New York: John Wiley.
Chapter in book:
Gabriel, K.R. (1985) Multivariate graphics. In Kotz, S., Johnson, N.L. eds. Encyclopaedia of statistical sciences. New York: John Wiley, 66-79.
Permissions
It is the responsibility of the author(s) to obtain written consent from the original publisher and author(s) to use any material published previously elsewhere. Please forward all correspondence with the final version of your manuscript.
Offprints
The principal author only will be supplied with 25 offprints of his/her article. Additional offprints can be ordered at page proof stage.
Addresses for Submission:
Submissions from North America should be sent to:
Brian Marx
Editor, Statistical Modelling: An International Journal
Department of Experimental Statistics
Louisiana State University
Baton Rouge
LA 70803
USA
Email: bmarx@lsu.edu
Other submissions should be sent to:
John Hinde
Co-ordinating Editor, Statistical Modelling: An International Journal
Department of Mathematics
National University of Ireland, Galway
Galway
Ireland
Email: john.hinde@nuigalway.ie
or
Emmanuel Lesaffre
Editor, Statistical Modelling: An International Journal
Biostatistical Centre
Catholic University of Leuven
UZ St Rafael
Kapucijnenvoer 35
B-3000 Leuven
Belgium
Email: emmanuel.lesaffre@med.kuleuven.ac.be
Electronic Graphic Files
For information on creating electronic versions of your figures please click here.
Editorial Board
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Editors
John Hinde, National University of Ireland, Galway, Ireland
Emmanuel Lesaffre, Katholieke Universiteit Leuven, Belgium
Brian Marx, Louisiana State University, USA
Print ISSN: 1471-082X - Online ISSN: 1477-0342
Volume 5 - 2005 - Quarterly - Approx 384 pages per volume
To view the online version of Statistical Modelling (hosted by www.ingentaconnect.com) please click HERE.
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Editorial Board
Editorial Advisory Panel:
Alan Agresti, University of Florida, USA
Murray Aitkin, University of Melbourne, Australia
Ludwig Fahrmeir, Universität München, Germany
Trevor Hastie, Stanford University, USA
Hans van Houwelingen, Leiden University, The Netherlands
John Nelder, Imperial College London, UK
Louise Ryan, Harvard School of Public Health, USA
Associate Editors
Marc Aerts, Limburgs Universitair Centrum, Belgium
Francesco Bartolucci, University of Urbino, Italy
Annibale Biggeri, Universit?di Firenze, Italy
Dankmar Böhning, University of Reading, UK
James Booth, Cornell University, USA
Brent Coull, Harvard School of Public Health, USA
Petros Dellaportas, Athens University of Economics and Business, Greece
Paul Eilers, Leiden University, The Netherlands
Dani Gamerman, Universidade Federal de Rio de Janeiro, Brazil
Harvey Goldstein, Institute of Education, UK
Guadalupe Gómez, Facultat d'Informàtica de Barcelona, Spain
Linda Haines, University of Cape Town, South Africa
Philip Hougaard, International Clinical Research, Denmark
Göran Kauermann, Universität Bielefeld, Germany
Joe Lang, University of Iowa, USA
Stefan Lang, Universität Leipzig, Germany
Andrew Lawson, University of South Carolina, USA
Johannes Ledolter, Vienna University of Economics and Business Administration, Austria
Brian Leroux, University of Washington, USA
Geoff McLachlan, University of Queensland, Australia
Vicente Núñez-Antón, Universidad del Pais Vasco, Spain
Daniel Peña, Universidad Carlos III de Madrid, Spain
Sophia Rabe-Hesketh, University of California, Berkeley, USA
Martin Ridout, University of Kent, UK
Gilg Seeber, Universitat Innsbruck, Austria
Robert Shumway, University of California, Davis, USA
Jeff Simonoff, New York University Stern School of Business, USA
Gordon Smyth, Walter and Eliza Hall Institute of Medical Research, Australia
Peter van der Heijden, Utrecht University, The Netherlands
Ronghui Xu, University of California, San Diego, USA
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