About this journal
Aims and scope
Are you looking for general-interest articles about
- current national and international statistical problems and programs,
- interesting and fun articles of a general nature about statistics and its applications, or
- the teaching of statistics?
Then you are looking for The American Statistician ( TAS ), published quarterly by the American Statistical Association. TAS contains timely articles organized into the following sections: Statistical Practice, General, Teacher's Corner, Statistical Computing and Graphics, Reviews of Books and Teaching Materials, Letters to the Editor, History Corner, and Interdisciplinary.
Statistical Practice
This section contains articles that are interesting or useful with regard to the practice of statistics, such as:
- case studies that illustrate important lessons and issues involved in the practice of statistics, or that deal with applications having broad appeal;
- discussions and comparisons of modern statistical methods, focusing on their usefulness in practice;
- articles that address practical problems at the interface between statistical methodology and areas of application; and
- articles that present statistical solutions to current industrial problems, with emphasis on methodology.
General
The following list illustrates examples of topics for articles in this section:
- national and international statistical problems and programs, and public policy matters of direct interest to the statistical profession;
- the history of statistics and probability;
- commentaries, or informative essays, that provide viewpoints and perspective on statistical topics of general interest (these are similar in spirit to Letters to the Editor but involve longer discussions of background, issues, and perspective);
- methodological developments that are both of broad interest to statisticians and generally not highly technical; and
- expository or tutorial state-of-the-art surveys of the discipline.
Teacher's Corner
In this section, The American Statistician publishes articles, notes, and discussions of interest to statistics teachers covering a variety of different courses and settings. The range includes:
- statistics and probability topics for high school students, including Advanced Placement Statistics;
- introductory college courses in statistics for all audiences;
- applied statistics courses at all levels;
- industrial and continuing education outside the framework of standard academic courses; and
- mathematical statistics courses at the undergraduate and first-year graduate level. An article for this section should state clearly the type of course in which the material is useful and it is desirable to discuss student reactions to the ideas presented.
Statistical Computing and Graphics
This section includes articles about statistical computing and statistical graphics that are of broad interest to statisticians. For example, topics can include new graphical procedures or comparisons and evaluations of existing procedures; proposals of computational algorithms or assessments in terms of speed or numerical stability; and computational methods for simulation and approximation.
This section also includes a special component, Statistical Computing Software Reviews, which contains reports in the style of book reviews, generally extensive and comparative, on selected computer software systems.
Reviews of Books and Teaching Materials
The American Statistician publishes reviews of materials related to the teaching of undergraduate and service courses in statistics. This includes textbooks for such sources; special volumes and conference proceedings concerning statistical education; software, videotapes, organized sources of data, and internet resources intended for purposes of statistical education. While only professionally published materials are typically considered for review, high-quality self-published resources that are of broad interest to the statistical community may be considered on a case-by-case basis. All reviews are coordinated with the Journal of the American Statistical Association through the Reviews Editor, who handles both The American Statistician and JASA and selects reviews for The American Statistician according to the above criteria. Items are not reviewed in both journals. Book publishers and developers of other items who wish to have their products reviewed in this section should contact: Jay Breidt [email protected]
Letters to the Editor
Letters to the Editor are confined to discussions of papers that have appeared recently in The American Statistician and to discussions of important issues facing the statistical community. Letters discussing papers must be received within three months of publication of the paper; the author of the paper will then be given an opportunity to reply, and the letters and reply will be published together. All letters to the editor are refereed.
History Corner
Articles relating to the history of statistics, from very old to somewhat recent history, are welcome. Examples may include archival research on the early days of the ASA showing some interesting new facet; papers displaying historical trends in the use of statistics in teaching, research and practice; re-interpretations of history in modern light (e.g., as changed by modern technology); unearthing of little-known contributions by historical statistical luminaries; and recollections of general interest. "History" is interpreted fairly broadly: technology has rendered much of the latter part of the 20th century "historical."
Interdisciplinary
This section has a character somewhat like JASA Applications and Case Studies, as well as Statistical Science, but with perhaps greater subject matter emphasis, and certainly with greater accessibility and clear exposition characteristic of TAS. Papers in this section should:
- bring more domain-specific application knowledge to statisticians; and
- make TAS and the ASA in general more attractive to people who are "on the fringes" of statistics, but housed in various "nonstatistics" academic, professional, and scientific disciplines. Types of papers in this section include surveys of uses of statistics in fields that are considered primarily not statistics, descriptions of important problems in particular disciplines in need of statistical methods, and critical reviews of statistical methodologies that are in common use outside of the statistical core.
Data Science
Papers in this section would normally include either novel developments in classifications, clustering, predictive modeling, or alternatively, would utilize these statistical tools to creatively solve applied problems, potentially via inter-disciplinary teams, that have a significant impact. In either case, papers for the data science section should reflect an expository writing style.
Tutorial
This section is designed to provide an entry point to professional statisticians to modern statistical methods. It differs from Teacher's Corner because papers in the Tutorial section are not written with teaching students in mind. It differs from a Review Paper because the aim is not for an up-to-date bibliography of related research and/or articulation of a vision for future work. Instead, the Tutorial section calls for expository papers that explain the basics and provide a gentle introduction to areas of statistics that are fairly recent, or even on the cutting edge, and that include revealing examples and an indication on how the area impacts statistical practice.
The American Statistician is indexed by MathSci Online, ISI Web of Knowledge, the SRM Database, and Current Index to Statistics; it is also reviewed in Mathematical Reviews and abstracted in Research into Higher Education Abstracts, as well as by Information Access Group.
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ASA Statement on Justice, Equity, Diversity, and Inclusion (JEDI)
The leadership of the American Statistical Association commits to strengthening our professional community by making it more just, equitable, diverse, and inclusive. We affirm that our mission, Promote the Practice and Profession of Statistics, can be realized only by fully embracing justice, equity, diversity, and inclusivity in all of our operations. Individuals embody many traits, so the leadership will work with the members of ASA to create and sustain responsive, flourishing, and safe environments that support individual needs, stimulate intellectual growth, and promote professional advancement for all. We commit to these objectives:
- Learn from our members and others how to identify and overcome systemic racism and hindering biases of any kind
- Critically reappraise and improve the effectiveness of our JEDI efforts
- Identify and develop resources for individuals and organizations in our professional community to enable growth and appreciation for cultural humility
- Share openly our diversity and inclusion efforts and the solutions we have implemented
Journal metrics
Usage
- 435K annual downloads/views
Citation metrics
- 1.8 (2023) Impact Factor
- Q1 Impact Factor Best Quartile
- 5.3 (2023) 5 year IF
- 3.5 (2023) CiteScore (Scopus)
- Q1 CiteScore Best Quartile
- 1.594 (2023) SNIP
- 0.675 (2023) SJR
Speed/acceptance
- 45 days avg. from submission to first decision
- 111 days avg. from submission to first post-review decision
- 35 days avg. from acceptance to online publication
- 19% acceptance rate
Understanding and using journal metrics
Journal metrics can be a useful tool for readers, as well as for authors who are deciding where to submit their next manuscript for publication. However, any one metric only tells a part of the story of a journal’s quality and impact. Each metric has its limitations which means that it should never be considered in isolation, and metrics should be used to support and not replace qualitative review.
We strongly recommend that you always use a number of metrics, alongside other qualitative factors such as a journal’s aims & scope, its readership, and a review of past content published in the journal. In addition, a single article should always be assessed on its own merits and never based on the metrics of the journal it was published in.
For more details, please read the Author Services guide to understanding journal metrics.
Journal metrics in brief
Usage and acceptance rate data above are for the last full calendar year and are updated annually in February. Speed data is updated every six months, based on the prior six months. Citation metrics are updated annually mid-year. Please note that some journals do not display all of the following metrics (find out why).
- Usage: the total number of times articles in the journal were viewed by users of Taylor & Francis Online in the previous calendar year, rounded to the nearest thousand.
Citation Metrics
- Impact Factor*: the average number of citations received by articles published in the journal within a two-year window. Only journals in the Clarivate Science Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI), Arts and Humanities Citation Index (AHCI) and the Emerging Sources Citation Index (ESCI) have an Impact Factor.
- Impact Factor Best Quartile*: the journal’s highest subject category ranking in the Journal Citation Reports. Q1 = 25% of journals with the highest Impact Factors.
- 5 Year Impact Factor*: the average number of citations received by articles in the journal within a five-year window.
- CiteScore (Scopus)†: the average number of citations received by articles in the journal over a four-year period.
- CiteScore Best Quartile†: the journal’s highest CiteScore ranking in a Scopus subject category. Q1 = 25% of journals with the highest CiteScores.
- SNIP (Source Normalized Impact per Paper): the number of citations per paper in the journal, divided by citation potential in the field.
- SJR (Scimago Journal Rank): Average number of (weighted) citations in one year, divided by the number of articles published in the journal in the previous three years.
Speed/acceptance
- From submission to first decision: the average (median) number of days for a manuscript submitted to the journal to receive a first decision. Based on manuscripts receiving a first decision in the last six months.
- From submission to first post-review decision: the average (median) number of days for a manuscript submitted to the journal to receive a first decision if it is sent out for peer review. Based on manuscripts receiving a post-review first decision in the last six months.
- From acceptance to online publication: the average (median) number of days from acceptance of a manuscript to online publication of the Version of Record. Based on articles published in the last six months.
- Acceptance rate: articles accepted for publication by the journal in the previous calendar year as percentage of all papers receiving a final decision.
For more details on the data above, please read the Author Services guide to understanding journal metrics.
*Copyright: Journal Citation Reports®, Clarivate Analytics
†Copyright: CiteScore™, Scopus
Editorial board
Editor
Min-ge Xie
[email protected]
Past Editor
Joshua M. Tebbs
University of South Carolina
[email protected]
Editorial Coordinator
Janet Wallace
[email protected]
Eric Sampson
Associate Editors
Jeongyoun Ahn - Korea Advanced Institute of Science and Technology
Arne Bathke, University of Salzburg
Candace Berrett - Brigham Young University
Yang Chen, University of Michigan
Ron Christensen - University of New Mexico
WIlliam Cipolli - Colgate University
Nairanjana Dasgupta - Washington State University
Miguel de Carvalho - University of Edinburgh
Philip Dixon – Iowa State University
Philip A. Ernst – Imperial College London
Colin Fogarty - University of Michigan
Jesse Frey - Villanova University
Scott Gilbert - Southern Illinois University
Karl Gregory - University of South Carolina
Prakash Gorroochurn - Columbia University
Daniel Hall - University of Georgia
Ben B. Hansen - University of Michigan
Jennifer Hill - New York University
Daniel Jeske, University of California - Riverside
Robert Krafty - Emory University
Todd Kuffner, Washington University in St. Louis
Nicole Lazar - Pennsylvania State University
Ann B. Lee - Carnegie Mellon University
Yisheng Li - MD Anderson Cancer Center
Thomas Love, Case Western Reserve University
Yan Ma - University of Pittsburgh
Yaakov Malinovsky - University of Maryland-Baltimore County
Éric Marchand - Université de Sherbrooke
Mary Meyer - Colorado State University
Robert Oster - University of Alabama-Birmingham
Philip Protter - Columbia University
Peijun Sang, University of Waterloo
Stephanie Santorico - University of Colorado-Denver
Kimberly Sellers - North Carolina State University
Elizabeth Slate - Florida State University
Nathaniel Stevens - University of Waterloo
Joshua Tebbs, University of South Carolina
Wesley Thompson, Laureate Institute for Brain Research
Daniel Toth - Bureau of Labor Statistics
Minge Xie - Rutgers University
Yao Xie - Georgia Tech
Min Xu - Rutgers University
Weixin Yao - University of California-Riverside
Linda Zhao, University of Pennsylvania
Zhigen Zhao, Temple University
Ling Zhou, Southwestern University of Finance and Economics
Editor of Reviews of Books and Teaching Materials
Thomas Lee
University of California – Davis
Reviews Editorial Coordinator
Jamie Hutchens
[email protected]
To submit a book for review, please contact Jamie Hutchens at [email protected]
Reviews Associate Editors
Brenda Betancourt - NORC at University of Chicago
Andrew Bray - University of California Berkeley
K. C. Gary Chan - University of Washington
Yang Chen - University of Michigan
Yen-Chi Chen - University of Washington
Grace S. Chiu - William & Mary Virginia Inst of Marine Science
Haeran Cho - University of Bristol
Jairo Fuquene-Patino - University of California Davis
Ruobin Gong - Rutgers University
Woncheol Jang - Seoul National University
Alex Luedtke - University of Washington
Patricia Martinkova - Czech Academy of Sciences
Kelly McConville - Harvard University
Yang Ni - Texas A&M University
Xiaoyue Niu - Penn State University
Qing Pan - George Washington University
Maria Giovanna Ranalli - University of Perugia
Claudia Tarantola - University of Pavia
Anne van Delft - Columbia University
Anton Westveld - Australian National University
Jonathan Williams - NC State University
Raymond K. W. Wong - Texas A&M University
Abstracting and indexing
The American Statistician is abstracted/indexed in:
- American Mathematical Society
MathSciNet
- American Statistical Association
Current Index to Statistics (Online) - CABI (various)
- De Gruyter Saur (various)
- EBSCOhost (various)
- Elsevier BV
Scopus - Emerald Group Publishing Limited
Computer Abstracts International Database
- Gale (various)
- Genamics JournalSeek
- H.W. Wilson
Social Sciences Index
Wilson Business Abstracts
- International Atomic Energy Agency
INIS Collection Search (International Nuclear Information System)
- National Library of Medicine
PubMed
- OCLC
ArticleFirst
Education Index (Online)
Periodical Abstracts
Wilson Business Abstracts
- Ovid
GeoRef
- Personal Alert (Email)
- ProQuest (various)
- Springer
Zentralblatt MATH (Online) - Statistical Theory and Method Abstracts (CD-ROM)
- Taylor & Francis
Research into Higher Education Abstracts (Online)
- Clarivate Analytics
Current Contents
Science Citation Index Expanded
Web of Science - zbMATH
Open access
The American Statistician is a hybrid open access journal that is part of our Open Select publishing program, giving you the option to publish open access. Publishing open access means that your article will be free to access online immediately on publication, increasing the visibility, readership, and impact of your research.
Why choose open access?
- Increase the discoverability and readership of your article
- Make an impact and reach new readers, not just those with easy access to a research library
- Freely share your work with anyone, anywhere
- Comply with funding mandates and meet the requirements of your institution, employer or funder
- Rigorous peer review for every open access article
Article Publishing Charges (APC)
If you choose to publish open access in this journal you may be asked to pay an Article Publishing Charge (APC). You may be able to publish your article at no cost to yourself or with a reduced APC if your institution or research funder has an open access agreement or membership with Taylor & Francis.
Use our APC finder to calculate your article publishing charge
News, offers and calls for papers
News and offers
Association information
The American Statistical Association (ASA) is a leading professional organisation for statisticians, dedicated to the research and practice of statistics and statistical analysis. It focuses on the development, application, and dissemination of statistical science and operates at the interface of academia, policy, and practice.
Members of ASA are eligible to receive online access to each of the society’s subscription-based journals, online access to Math Horizons and other Taylor & Francis statistics and mathematics journals.
The association publishes the magazine CHANCE and ten journals:
Journal of Nonparametric Statistics
Journal of the American Statistical Association
Journal of Business & Economic Statistics
Journal of Computational and Graphical Statistics
Journal of Statistics and Data Science Education (an open access journal)
Statistics in Biopharmaceutical Research
Statistics and Public Policy (an open access journal)
The American Statistician
Technometrics
Data Science in Science
Explore the American Statistical Association’s portfolio of journals.
For submission information read the Instruction for Authors.
To register as a peer reviewer for The American Statistician visit the submission site to create an account and discover Taylor & Francis Peer Reviewer Training Network.
4 issues per year
Associated with:
- Journal of Statistics and Data Science Education (2021 - current)
- Journal of the American Statistical Association (1922 - current)
- Journal of Business & Economic Statistics (1983 - current)
- Technometrics (1959 - current)
- Journal of Computational and Graphical Statistics (1992 - current)
- CHANCE (1989 - current)
- Statistics in Biopharmaceutical Research (2009 - current)
- Statistics and Public Policy (2014 - current)
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