Journal of Nonparametric Statistics provides a medium for the publication of research and survey work in nonparametric statistics and related areas. The scope includes, but is not limited to the following topics:
Nonparametric modeling
Nonparametric function estimation
Rank and other robust and distribution-free procedures
Resampling methods
Lack-of-fit testing
Multivariate analysis
Inference with high-dimensional data
Dimension reduction and variable selection
Methods for errors in variables, missing, censored, and other incomplete data structures
Inference of stochastic processes
Sample surveys
Time series analysis
Longitudinal and functional data analysis
Nonparametric Bayes methods and decision procedures
Semiparametric models and procedures
Statistical methods for imaging and tomography
Statistical inverse problems
Financial statistics and econometrics
Bioinformatics and comparative genomics
Statistical algorithms and machine learning.
Both the theory and applications of nonparametric statistics are covered in the journal. Research applying nonparametric methods to medicine, engineering, technology, science and humanities is welcomed, provided the novelty and quality level are of the highest order.
Authors are encouraged to submit supplementary technical arguments, computer code, data analysed in the paper or any additional information for online publication along with the published paper.
Peer Review Policy
All submitted manuscripts are subject to initial appraisal by the Editor. If found suitable for further consideration, papers are subject to peer review by independent, anonymous expert referees. All peer review is single anonymized and submissions can be made online at http://mc.manuscriptcentral.com/gnst.
95 days avg. from submission to first
post-review decision
11 days avg. from acceptance to online
publication
35% 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.
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.
Editors-in-Chief: Wenbin Lu - North Carolina State University, USA
Editorial Board: Ash Abebe - Auburn University, USA Jelena Bradic - University of California at San Diego, USA Melanie Birke - Bayreuth University, Germany Graciela Boente - University of Buenos Aires, Argentina Francesco Bravo - Department of Economics and Related Studies, University of York, UK José E. Chacón - Departamento de Matemáticas, Universidad de Extremadura, Spain Sanjay Chaudhuri - Department of Statistics and Applied Probability, National University of Singapore, Singapore Jia Chen - University of York, UK Rosa Crujeiras - Universidad de Santiago de Compostela, Spain Sophie Dabo-Niang - Universite de Lillé, France Abdelaati Daouia - Toulouse School of Economics, France Fang Fang - School of Finance and Statistics, East China Normal University, P. R. China Ricardo Fraiman - Universidad de la República, Uruguay Laurent Gardes - IRMA, Université de Strasbourg, France Camelia Goga - Université de Bourgogne Franche-Comté, France Graciela González Farías - CIMAT - Research Center in Mathematics, Probability and Statistics, Mexico Benjamin A. Haaland - Stewart School of Industrial & Systems Engineering, Georgia Institute of Technology, USA Scott H. Holan - Department of Statistics, University of Missouri/U.S. Census Bureau, USA Chunfeng Huang - Department of Statistics, Indiana University Bloomington, USA Maarten Jansen - Department of Mathematics and Computer Science, Université Libre de Bruxelles, Belgium Pengsheng Ji - University of Georgia, USA Sungkyu Jung - Department of Statistics, University of Pittsburgh, USA Quefeng Li - Department of Biostatistics, University of North Carolina, USA Sara López-Pintado - Department of Health Sciences Northeastern University, USA Natalia Markovich - Institute of Control Sciences, Russian Academy of Sciences, Russia María Dolores Martínez-Miranda - University of Granada, Spain Andrea Meilán Vila - Department of Statistics, Carlos III University of Madrid, Spain Reza Modarres - Department of Statistics, George Washington University, USA Natalie Neumeyer - Universität Hamburg, Germany Alicia Nieto-Reyes - Universidad de Cantabria, Spain S. Rao Jammalamadaka - Department of Statistics and Applied Probability, University of California at Santa Barbara, USA Javier Rojo - Department of Epidemiology and Biostatistics, Indiana University, USA Weining Shen - University of California Irvine, USA Chengchung Shi - Department of Statistics, London School of Economics and Political Science, UK Jianguo Sun - Department of Statistics, University of Missouri, USA Anneleen Verhasselt - Universiteit Hasselt, Interuniversity Institute for Biostatistics and Statistical Bioinformatics, Belgium Philippe Vieu - Laboratoire de Statistique et Probabilités, France Haiyan Wang - Department of Statistics, Kansas State University, USA Haonan Wang - Department of Statistics, Colorado State University, USA Jane-Ling Wang - Department of Statistics, University of California at Davis, USA Lei Wang - School of Statistics and Data Science, Nankai University, P. R. China Li (Lily) Wang - Iowa State University, USA Suojin Wang - Department of Statistics, Texas A&M University, USA Xuejun Wang - School of Big Data and Statistics, Anhui University, P.R. China Yuedong Wang - Department of Statistics and Applied Probability, University of California at Santa Barbara, USA Wolfgang Wefelmeyer - Mathematical Institute, University of Cologne, Germany Wei Biao Wu - Department of Statistics, University of Chicago, USA Luo Xiao - Department of Statistics, North Carolina State University, USA Jiajia Zhang - Biostatistics Department, University of South Carolina, USA Jiwei Zhao - Department of Biostatistics, State University of New York at Buffalo, USA Yichuan Zhao - Georgia State University, USA
Founding Editor: Ibrahim Ahmad - Department of Statistics, Oklahoma State University, USA
Former Editors-in-Chief: Ibrahim Ahmad - Department of Statistics, Oklahoma State University, USA Ricardo Cao - Department of Mathematics, Universidade da Coruña, Spain Irène Gijbels - Department of Mathematics and Leuven Statistics Research Center, Katholieke Universiteit Leuven, Belgium Jun Shao - Department of Statistics, University of Wisconsin-Madison, USA Suojin Wang - Department of Statistics, Texas A&M University, USA
Journal of Nonparametric Statistics Editorial Office - [email protected]
Abstracting and indexing
Journal of Nonparametric Statistics is currently abstracted/indexed in: Australian Business Deans Council (ABCD) Australian Research Council ERA list 2015 Baidu Scholar British Library Inside CABI (CAB Abstracts) CABS Academic Journal Guide Clarivate Analytics: Current Contents® / Physical, Chemical & Earth Sciences Clarivate Analytics: Science Citation Index Expanded™ CNKI Scholar CNPIEC CnpLINKer Current Index to Statistics Danish Bibliometric Research Indicator (BFI) DTU Findit E-lib Breman EBSCO Databases EconPapers Electronic Journals Library (EZB) Genamics JournalSeek Google Scholar JournalTOCs MathSciNet Microsoft Academic Naver Academic New Jour NHN Norwegian Register of Scientific Journals and Publishers Portico ProQuest Advanced Technologies and Aerospace ProQuest Computer and Information Systems Abstracts ProQuest Technology Collection Publons RePEc (IDEAS) SciBase Scopus™ - click here for current CiteScore Technical Info Centre of Denmark, DTU library Ulrich's Periodicals Directory Web of Science WorldCat Local (OCLC) zbMath Zetoc
Open access
Journal of Nonparametric Statistics 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.
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.
Members of the Bernoulli Society are eligible for a discounted online subscription to the Journal of Nonparametric Statistics.
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
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