Advanced search
Publication Cover
Communications in Statistics - Theory and Methods Volume 19, 1990 - Issue 11
Submit an article Journal homepage
100
Views
14
CrossRef citations to date
0
Altmetric
Original Articles

Applications of kernel regression estimation:survey

Philip E. Cheng INSTITUTE OF STATISTICAL SCIENCE ACADEMIA SINICA, TAIPEI, R.O.C, 11529, TAIWAN
Pages 4103-4134 | Received 01 Sep 1990, Published online: 27 Jun 2007

Citations (14)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (4)

Graciela Boente & Alejandra M. Martínez. (2016) Estimating additive models with missing responses. Communications in Statistics - Theory and Methods 45:2, pages 413-429.
Read now
Hua Liang, Suojin Wang, James M Robins & Raymond J Carroll. (2004) Estimation in Partially Linear Models With Missing Covariates. Journal of the American Statistical Association 99:466, pages 357-367.
Read now
W. González-Manteiga & A. Pérez-González. (2004) Nonparametric Mean Estimation with Missing Data. Communications in Statistics - Theory and Methods 33:2, pages 277-303.
Read now
PhilipE. Cheng. (1994) Nonparametric Estimation of Mean Functionals with Data Missing at Random. Journal of the American Statistical Association 89:425, pages 81-87.
Read now

Articles from other publishers (10)

Shuotao Diao & Suvrajeet Sen. (2023) Distribution-free algorithms for predictive stochastic programming in the presence of streaming data. Computational Optimization and Applications 87:2, pages 355-395.
Crossref
Xuan Kan, Zimu Li, Hejie Cui, Yue Yu, Ran Xu, Shaojun Yu, Zilong Zhang, Ying Guo & Carl Yang. (2023) R-Mixup: Riemannian Mixup for Biological Networks. R-Mixup: Riemannian Mixup for Biological Networks.
Takuya Ikeda, Masaaki Nagahara, Debasish Chatterjee & Sukumar Srikant. (2022) Constrained Smoothing Splines by Optimal Control. IEEE Control Systems Letters 6, pages 1298-1303.
Crossref
Vinayaka R. Kamath, M. Varun & S. Aswath. 2021. Advances in Artificial Intelligence and Data Engineering. Advances in Artificial Intelligence and Data Engineering 1255 1270 .
Guorong Dai & Ursula U. Müller. (2019) Efficient estimators for expectations in nonlinear parametric regression models with responses missing at random. Electronic Journal of Statistics 13:2.
Crossref
Youness Aliyari Ghassabeh & Frank Rudzicz. (2016) The mean shift algorithm and its relation to kernel regression. Information Sciences 348, pages 198-208.
Crossref
R. Raya-Miranda & M.D. Martínez-Miranda. (2011) Data-driven local bandwidth selection for additive models with missing data. Applied Mathematics and Computation 217:24, pages 10328-10342.
Crossref
LIUGEN XUE. (2009) Empirical Likelihood Confidence Intervals for Response Mean with Data Missing at Random. Scandinavian Journal of Statistics 36:4, pages 671-685.
Crossref
Christian D. Galindo. (1998) On nonparametric estimation of mean functionals. Statistics & Probability Letters 39:2, pages 143-149.
Crossref
C.K. Chu & P.E. Cheng. (1995) Nonparametric regression estimation with missing data. Journal of Statistical Planning and Inference 48:1, pages 85-99.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.