검색어 : 통합검색[Nonparametric statistics.]
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951
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Generalised regression estimators for average treatment effect with multicollinearity in high-dimensional covariates
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He, Xiaohong;
Yang, Yaohong;
Wang, Lei;
School of Statistics and Data Science, KLMDASR, LEBPS & LPMC, Nankai University, Tianjin, People's Republic of China;
School of Statistics and Data Science, KLMDASR, LEBPS & LPMC, Nankai University, Tianjin, People's Republic of China;
School of Statistics and Data Science, KLMDASR, LEBPS & LPMC, Nankai University, Tianjin, People's Republic of China;
(Journal of nonparametric statistics,
v.34,
2022,
pp.407-427)
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952
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Nonparametric inference for interval data using kernel methods
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Park, Hoyoung;
Loh, Ji Meng;
Jang, Woncheol;
Sookmyung Women's University, Yongsan-gu, Republic of Korea;
New Jersey Institute of Technology, Newark, NJ, USA;
Seoul National University, Gwanak-gu, Republic of Korea;
(Journal of nonparametric statistics,
v.35,
2023,
pp.455-473)
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953
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Nonparametric estimation of the conditional survival function with double smoothing
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Pelá
ez, Rebeca;
Cao, Ricardo;
Vilar, Juan M.;
Research Group MODES, Department of Mathematics, CITIC, University of A Coruñ
a, A Coruñ
a, Spain;
(Journal of nonparametric statistics,
v.34,
2022,
pp.1063-1090)
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954
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Some multivariate goodness of fit tests based on data depth
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Singh, Rahul;
Dutta, Subhajit;
Misra, Neeraj;
Department of Mathematics and Statistics, Indian Institute of Technology Kanpur, Kanpur, India;
Department of Mathematics and Statistics, Indian Institute of Technology Kanpur, Kanpur, India;
Department of Mathematics and Statistics, Indian Institute of Technology Kanpur, Kanpur, India;
(Journal of nonparametric statistics,
v.34,
2022,
pp.428-447)
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955
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Intermediate efficiency of some weighted goodness-of-fit statistics
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Ć
miel, Bogdan;
Inglot, Tadeusz;
Ledwina, Teresa;
Faculty of Applied Mathematics, AGH University of Science and Technology, Cracov, Poland;
Faculty of Pure and Applied Mathematics, Wrocław University of Science and Technology, Wrocław, Poland;
Institute of Mathematics, Polish Academy of Sciences, Wrocław, Poland;
(Journal of nonparametric statistics,
v.32,
2020,
pp.667-703)
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956
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A semiparametric Bayesian approach to epidemics, with application to the spread of the coronavirus MERS in South Korea in 2015
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Schweinberger, Michael;
Bomiriya, Rashmi P.;
Babkin, Sergii;
Department of Statistics, University of Missouri, Columbia, MO, USA;
RS Metrics Asia, Penn State University, University Park, PA, USA;
Microsoft, Rice University, Houston, TX, USA;
(Journal of nonparametric statistics,
v.34,
2022,
pp.628-662)
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957
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Nonparametric curve estimation on stiefel manifolds
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Lee, Jeffrey M.;
Ruymgaart, Frits H.;
a Department of Mathematics , Texas Technical University , Lubbock, TX, 79409-1042, U.S.A;
a Department of Mathematics , Texas Technical University , Lubbock, TX, 79409-1042, U.S.A;
(Journal of nonparametric statistics,
v.6,
1996,
pp.57-68)
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958
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<i>F</i>-distribution calibrated empirical likelihood ratio tests for multiple hypothesis testing
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Wang, Lei;
Yang, Dan;
Institute of Statistics and LPMC, Nankai University, Tianjin, People's Republic of China;
School of Statistics, East China Normal University, Shanghai, People's Republic of China;
(Journal of nonparametric statistics,
v.30,
2018,
pp.662-679)
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959
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Addendum to distribution-free multiple comparisons between successive treatments
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Lee, R. E.;
Spurrier, J. D.;
;
(Journal of nonparametric statistics,
v.7,
1997,
pp.295-295)
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960
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Exact rates of almost sure convergence of a recursive kernel estimate of a probability densiy function: Application to regression and hazard rate estimation
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Roussas, George G.;
University of California, Davis, USA;
(Journal of nonparametric statistics,
v.1,
1992,
pp.171-195)