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Journal of Nonparametric Statistics Volume 25, 2013 - Issue 2
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Original Articles

B-spline estimation for semiparametric varying-coefficient partially linear regression with spatial data

Tang Qingguo School of Economics and Management, Nanjing University of Science and Technology, Nanjing, 210094, People's Republic of ChinaCorrespondence[email protected]
Pages 361-378 | Received 16 May 2012, Accepted 28 Nov 2012, Published online: 13 Feb 2013

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Read on this site (4)

Guowang Luo & Mixia Wu. (2022) Statistical inference for semiparametric varying -coefficient spatial autoregressive models under restricted conditions. Communications in Statistics - Simulation and Computation 51:5, pages 2268-2286.
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Bao-Hua Wang & Han-Ying Liang. (2022) Empirical likelihood in varying-coefficient quantile regression with missing observations. Communications in Statistics - Theory and Methods 51:1, pages 267-283.
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Guowang Luo & Mixia Wu. (2021) Variable selection for semiparametric varying-coefficient spatial autoregressive models with a diverging number of parameters. Communications in Statistics - Theory and Methods 50:9, pages 2062-2079.
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Jingru Mu, Guannan Wang & Li Wang. (2020) Spatial autoregressive partially linear varying coefficient models. Journal of Nonparametric Statistics 32:2, pages 428-451.
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Articles from other publishers (2)

Tang Qingguo & Bian Minjie. (2020) Estimation for functional linear semiparametric model. Statistical Papers 62:6, pages 2799-2823.
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Hongwei Lu, Yimei Zhang, Xiahui Wang & Li He. (2014) A semiparametric statistical approach for forecasting SO2 and NO x concentrations. Environmental Science and Pollution Research 21:13, pages 7985-7995.
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