期刊名称:ANNALS OF APPLIED STATISTICS

ISSN:1932-6157
出版频率:Quarterly
出版社:INST MATHEMATICAL STATISTICS-IMS, 3163 SOMERSET DR, CLEVELAND, Usa, OH, 44122
  出版社网址:http://imstat.org/en/index.html
期刊网址:http://imstat.org/aoas/
影响因子:2.083
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
Statistical research spans an enormous range from direct subject-matter collaborations to pure mathematical theory. The Annals of Applied Statistics, the newest journal from the IMS, is aimed at papers in the applied half of this range. Published quarterly in both print and electronic form, our goal is to provide a timely and unified forum for all areas of applied statistics.
Instructions to Authors

Manuscript Submission

What kind of papers are appropriate for AOAS?

We hope to publish papers that have obvious applied origins while being of interest beyond the specific application. Direct subject matter collaborations are appropriate, as are methodological developments bearing directly on important areas of application.

How should papers be written?

AOAS is intended to be read by all professional statisticians, as well as by other scientists who are interested in particular areas of statistical application. It is important for the abstract and introduction to say Why the topic is of interest and What is to be shown, in as non-technical a manner as possible. Click on "Instructions for Referees" for more on the kind of papers we are looking for.

Extended mathematical and computational derivations belong in an appendix, devoting the main text to a clear description of the ideas. Some description of underlying scientific questions is welcome, and necessary for unusual topics.

Style

There are a few stylistic differences between AOAS and other IMS journals:

  • References should be in the name/year format.
    The initial reference in each section should be full, eg:

    Smith, Jones, and Roberts (1992),

    using "et al" for more than three authors; subsequent references can be abbreviated, eg:

    Smith et al,

    without the year, if there is no ambiguity.

  • Footnotes are allowed, but should not be overused.

Click HERE to see more about our editing policies.

How long should papers be?

Most published papers will not exceed 20 pages (About 500 words per page, with figures typically taking 1/3 page and displayed equations 30 words each), anything longer requiring unusually compelling subject matter. Papers fewer than 12 printed pages may receive expedited review.

What materials can be submitted along with the paper?

We encourage submission of related data sets, computer algorithms and supporting material (see instructions below.) This can help the editors and referees in the review process. We intend to archive supporting material along with the electronic versions of accepted papers.

How are papers submitted?

Papers must be submitted electronically. Access the Electronic Journal Management System (EJMS) at http://www.e-publications.org/ims/submission/. If you are a first time user complete the registration (you are only required to register once.) After registration you can submit your manuscript. Manuscripts must be submitted in pdf form.

Attached documents are allowed in EJMS, for data sets, algorithms etc. (Programs should be self-contained and run on standard platforms.) A covering letter can be sent to us at brad@stat.stanford.edu.

Manuscripts should be word processed with wide margins at sides, top and bottom. (Manuscripts prepared for A4 paper should have top and bottom margins wide enough to accommodate printing on 8.5 x 11 paper, and similarly, manuscripts prepared for 8.5 x 11 paper should have wide enough side margins to accommodate printing on A4 paper.) Use of LaTeX is preferred as that will facilitate conversion of the manuscript to its final published form.

Please see the LaTeX support page for IMS publications to use the IMS recommended template.

How are papers handled?

Your paper will be assigned to the Editor of one of the three AOAS areas, Biostatistics , Physical Science, or Social Science (you get to suggest an area on the submission form, but we may change the assignment.) The area Editor has full control of your paper after that, including final decisions concerning publication. All further correspondence concerning the paper will be with the area Editor.

Data Archive for Supplementary Material

Because applied statistics is focused on substantive problems revolving around real data, most of the papers in AOAS will deal with the analysis of one or more datasets. In keeping with the principle that scientific results need to be replicable, AOAS strongly encourages authors to make the data used in papers published in AOAS available for others to analyze. The editors recognize that this is easier to do in some situations than in others. Some data sets may already be available electronically and only a pointer (url) is required. For data gathered on individuals and organizations, the preservation of confidentiality may prevent complete public access, but "privacy-protected" extracts without identifiers may be sharable, or individuals can request access to confidential files through special licensing or other agreements.

For material that is important to the paper but that may be extensive or secondary to the primary arguments, authors are encouraged to utilize web-based supplementary files. These may include data sets, software, or extensive mathematical derivations, in addition to algorithms or code for carrying out the analyses presented in a paper. Such supplements will be included in the review process and, when an article is accepted for publication, they will be placed in the special AOAS Data and Software Archive at StatLib.

Follow the instructions here if your paper/supplement has been accepted for publication.

Links to these supplements will be permanently posted with all electronically accessible versions of the journal at Project Euclid, JSTOR, and at the IMS website.


Editorial Board

 

 

 

 

 

 

Editors

 

Bradley Efron

 

 

    Editor-In-Chief

 

 

Michael Stein

 

 

    Editor for physical science, computation, engineering, and the environment
    Stephen E. Fienberg    
    Editor for social science, government, sample surveys, and economics

 

 

Karen Kafadar

 

 

    Editor for general topics
    Samuel Kou    
    Editor for general topics
         

 

 

Associate Editors

  Edoardo Airoldi   Thomas Loredo
  Yacine Ait-Sahalia   Charles F. Manski
   

Yali Amit

  Jeffrey S. Morris
    M. J. Bayarri   Thomas Brendan Murphy
   

Emery Brown

  Balasubramanian Narasimhan

 

 

Alicia L. Carriquiry

 

Susan Paddock

 

 

Dan Cork

 

James Robins
   

Sandrine Dudoit

  David Rogosa
   

Josee Dupuis

 

Joe Romano

 

 

Elena Erosheva

  J. Andy Royle
   

Montserrat Fuentes

  Scott Schmidler
    Gary L. Gadbury  

Rick Schoenberg

    Constantine Gatsonis   Cosma Shalizi
    Andrew Gelman   Galit Shmueli
    Peter Gilbert   Aleksandra B. Slavkovic
    Tilmann Gneiting  

Tom Snijders

 

 

Barry Graubard

 

Matthew Stephens
    Peter Guttorp   John Storey
    Mark S. Handcock   Marc Suchard
    Peter Hoff   Simon Tavare
    Chris Holmes   Rob Tibshirani
    Susan Holmes   Guenther Walther
    Rafael Irizarry   Yazhen Wang
    Samuel Kou   Will Welch
    Michael Larsen   Wing Hung Wong
    Shirley Liu   Eric Xing
    Sharon Lohr   Laurent Younes

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