Curve fitting and jump detection on nonparametric regression with missing data-Reference-Cited by-同舟云学术

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Curve fitting and jump detection on nonparametric regression with missing data

Published:2021-11-23 Issue: Volume: Page:1-21
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Li Qianyi¹²,Li Jianbo¹,Cheng Yongran³,Zhang Riquan⁴

Affiliation:

1. School of Mathematics and Statistics, Jiangsu Normal University, Xuzhou, People's Republic of China

2. Lianyungang Higher Vocational Technical College of Traditional Chinese Medicine, Lianyungang, People's Republic of China

3. School of Public Health, Hangzhou Medical College, Hangzhou, People's Republic of China

4. School of Statistics, East China Normal University, Shanghai, People's Republic of China

Funder

National Natural Science Foundation of China

Zhejiang Academy of Medical Sciences

Science and technology project of Health Department of Zhejiang Province

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2021.2004580

Reference25 articles.

1. INCOMPLETE DATA IN GENERALIZED LINEAR MODELS WITH CONTINUOUS COVARIATES

2. Nonparametric Estimation of Mean Functionals with Data Missing at Random

3. Curve Fitting Under Jump and Peak Irregularities Using Local Linear Regression

4. Nonparametric estimation of functions with jump discontinuities

5. Variable Bandwidth and Local Linear Regression Smoothers

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