《非參數統計雜志》為非參數統計及相關領域的研究和調查工作的出版提供了一個媒介。范圍包括但不限于以下主題:非參數建模非參數函數估計秩和其他健壯的、無分布的過程重采樣方法Lack-of-fit測試多變量分析利用高維數據進行推理降維和變量選擇方法用于變量中的錯誤、缺失、刪除和其他不完整的數據結構隨機過程推理抽樣調查時間序列分析縱向和功能數據分析非參數貝葉斯方法和決策過程半參數模型和程序影像及斷層攝影的統計方法統計的逆問題金融統計與計量經濟學生物信息學和比較基因組學統計算法和機器學習。非參數統計的理論和應用都在雜志中被涵蓋。歡迎將非參數方法應用于醫學、工程、技術、科學和人文學科的研究，前提是創新和質量水平最高。鼓勵作者在發表論文的同時提交補充的技術論據、計算機代碼、論文中分析的數據或任何附加信息，以便在線發表。

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 modelingNonparametric function estimationRank and other robust and distribution-free proceduresResampling methodsLack-of-fit testingMultivariate analysisInference with high-dimensional dataDimension reduction and variable selectionMethods for errors in variables, missing, censored, and other incomplete data structuresInference of stochastic processesSample surveysTime series analysisLongitudinal and functional data analysisNonparametric Bayes methods and decision proceduresSemiparametric models and proceduresStatistical methods for imaging and tomographyStatistical inverse problemsFinancial statistics and econometricsBioinformatics and comparative genomicsStatistical 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.