On Estimating Regression

Previous article Next article On Estimating RegressionE. A. NadarayaE. A. Nadarayahttps://doi.org/10.1137/1109020PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAboutAbstractA study is made of certain properties of an approximation to the regression line on the basis of sampling data when the sample size increases unboundedly.[1] Emanuel Parzen, On estimation of a probability density function and mode, Ann. Math. Statist., 33 (1962), 1065–1076 MR0143282 0116.11302 CrossrefGoogle Scholar Previous article Next article FiguresRelatedReferencesCited byDetails Targeted cross-validationBernoulli, Vol. 29, No. 1 Cross Ref Recursive kernel regression estimation under α – mixing data18 March 2021 | Communications in Statistics - Theory and Methods, Vol. 51, No. 24 Cross Ref Green innovation and income inequality: A complex system analysisStructural Change and Economic Dynamics, Vol. 63 Cross Ref Inferring differential subcellular localisation in comparative spatial proteomics using BANDLE10 October 2022 | Nature Communications, Vol. 13, No. 1 Cross Ref Plant health index as an anomaly detection tool for oil refinery processes25 August 2022 | Scientific Reports, Vol. 12, No. 1 Cross Ref Evaluation of nine statistics to identify QTLs in bulk segregant analysis using next generation sequencing approaches6 July 2022 | BMC Genomics, Vol. 23, No. 1 Cross Ref The impact of referral letter quality on timely access to specialised mental health care: a quantitative study of the reliability of patient triage2 June 2022 | BMC Health Services Research, Vol. 22, No. 1 Cross Ref Conditional Kaplan–Meier Estimator with Functional Covariates for Time-to-Event Data10 November 2022 | Stats, Vol. 5, No. 4 Cross Ref Non parametric covariance model with circular condition and its application16 March 2021 | Communications in Statistics - 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