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Journal of Nonparametric Statistics Volume 23, 2011 - Issue 2
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Original Articles

Determination of linear components in additive models

Rong Chen Department of Statistics, Rutgers University, Piscataway, NJ, 08854, USA
,
Hua Liang Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY, 14642, USACorrespondence[email protected]
&
Jing Wang Department of Mathematics, Statistics, and Computer Science, University of Illinois at Chicago, Chicago, IL, 60607, USA
Pages 367-383 | Received 30 Jun 2010, Accepted 24 Aug 2010, Published online: 19 Nov 2010

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Read on this site (3)

M. Kazemi, D. Shahsvani, M. Arashi & P. C. Rodrigues. (2021) Identification for partially linear regression model with autoregressive errors. Journal of Statistical Computation and Simulation 91:7, pages 1441-1454.
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Yin Lou, Jacob Bien, Rich Caruana & Johannes Gehrke. (2016) Sparse Partially Linear Additive Models. Journal of Computational and Graphical Statistics 25:4, pages 1126-1140.
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Miao Yang, Lan Xue & Lijian Yang. (2016) Variable selection for additive model via cumulative ratios of empirical strengths total. Journal of Nonparametric Statistics 28:3, pages 595-616.
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Articles from other publishers (4)

Hao Deng, Yuxiang Han & Yanfang Tao. (2023) Robust partially linear trend filtering for regression estimation and structure discovery. International Journal of Wavelets, Multiresolution and Information Processing 22:01.
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Feng Yao & Taining Wang. (2020) A NONPARAMETRIC TEST OF SIGNIFICANT VARIABLES IN GRADIENTS. Econometric Theory 37:5, pages 959-1003.
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Jun Zhang, Nanguang Zhou, Qian Chen & Tianyue Chu. (2018) Nonlinear measurement errors models subject to partial linear additive distortion. Brazilian Journal of Probability and Statistics 32:1.
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Yujie Gai, Jun Zhang, Gaorong Li & Xinchao Luo. (2015) Statistical inference on partial linear additive models with distortion measurement errors. Statistical Methodology 27, pages 20-38.
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