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Aims & Scope

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.
 
2008 5-year Impact Factor: 0.662
2008 Cited Half-Life: 6.1 years

© 2009 Thomson Reuters, 2008 Journal Citation Reports®

All published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent expert referees.


Disclaimer

Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in its publications. However, Taylor & Francis and its agents and licensors make no representations or warranties whatsoever as to the accuracy, completeness or suitability for any purpose of the Content and disclaim all such representations and warranties whether express or implied to the maximum extent permitted by law. Any views expressed in this publication are the views of the authors and are not the views of Taylor & Francis.
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