《非參數(shù)統(tǒng)計雜志》為非參數(shù)統(tǒng)計及相關領域的研究和調(diào)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(shù)建模非參數(shù)函數(shù)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(shù)據(jù)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(shù)據(jù)結(jié)構(gòu)隨機過程推理抽樣調(diào)查時間序列分析縱向和功能數(shù)據(jù)分析非參數(shù)貝葉斯方法和決策過程半?yún)?shù)模型和程序影像及斷層攝影的統(tǒng)計方法統(tǒng)計的逆問題金融統(tǒng)計與計量經(jīng)濟學生物信息學和比較基因組學統(tǒng)計算法和機器學習。非參數(shù)統(tǒng)計的理論和應用都在雜志中被涵蓋。歡迎將非參數(shù)方法應用于醫(yī)學、工程、技術、科學和人文學科的研究，前提是創(chuàng)新和質(zhì)量水平最高。鼓勵作者在發(fā)表論文的同時提交補充的技術論據(jù)、計算機代碼、論文中分析的數(shù)據(jù)或任何附加信息，以便在線發(fā)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.