Back to Top
Go Back
Journal Photo for Journal of Nonparametric Statistics
Peer reviewed only Open Access

Journal of Nonparametric Statistics (JNS)

Publisher : Taylor & Francis
Inference of stochastic processes Time series analysis Sample surveys
e-ISSN 1029-0311
p-ISSN 1048-5252
Issue Frequency Quarterly
Impact Factor 0.8
Est. Year 1991
Mobile 4402080520500
DOI YES
Country United Kingdom
Language English
APC YES
Impact Factor Assignee GOOGLE SCHOLAR
Email enquiries@taylorandfrancis.com

Journal Descriptions

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.

Journal of Nonparametric Statistics (JNS) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Inference of stochastic processes, Time series analysis, Sample surveys, Statistical methods for imaging and tomography, Statistical inverse problems, Bioinformatics and comparative genomics , Online or Print , Quarterly Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 1048-5252, E-ISSN: 1029-0311, Established: 1991, Impact Factor: 0.8
  • Provides Crossref DOI
  • Indexed in: Scopus, WoS

  • Not indexed in DOAJ, PubMed, UGC CARE

Indexing