Tests for the linear hypothesis in semi-functional partial linear regression models
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DOI: 10.1007/s00184-018-0680-1
Abstract: An empirical likelihood ratio testing method is proposed, in this paper, for semi-functional partial linear regression models. Two empirical likelihood ratio statistics are employed to test the linear hypothesis of parametric components, then we demonstrate… read more here.
Keywords: functional partial; semi functional; linear regression; regression models ... See more keywords
Estimation and variable selection for partial linear single-index distortion measurement errors models
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DOI: 10.1007/s00362-019-01119-6
Abstract: This paper considers partial linear single-index regression models when all the variables are measured with multiplicative distortion measurement errors. To eliminate the effect caused by the distortion, we propose the conditional absolute mean calibration. This… read more here.
Keywords: measurement errors; distortion; distortion measurement; linear single ... See more keywords
Robust and efficient estimating equations for longitudinal data partial linear models and its applications
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DOI: 10.1007/s00362-020-01181-5
Abstract: Composite quantile regression (CQR) is a good alternative of the mean regression, because of its robustness and efficiency. In longitudinal data analysis, correlation structure plays an important role in improving efficiency. However, how to specify… read more here.
Keywords: longitudinal data; partial linear; robust efficient; estimating equations ... See more keywords
Model estimation and selection for partial linear varying coefficient EV models with longitudinal data
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DOI: 10.1080/02664763.2021.1904847
Abstract: In this paper, we consider the estimation and model selection for longitudinal partial linear varying coefficient errors-in-variables (EV) models when the covariates are measured with some additive... read more here.
Keywords: model estimation; selection; partial linear; varying coefficient ... See more keywords
Elliptical difference based ridge and Liu type estimators in partial linear measurement error models
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DOI: 10.1080/03610926.2018.1472793
Abstract: Abstract In this article the difference based ridge and Liu type estimators are defined in partial linear models when the covariates are measured with additive errors. It is assumed that the additive error distributed according… read more here.
Keywords: ridge liu; difference based; based ridge; partial linear ... See more keywords
Semi-functional partial linear spatial autoregressive model
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DOI: 10.1080/03610926.2020.1738485
Abstract: Abstract This paper proposes a semi-functional partial linear spatial autoregressive (SAR) model, in which we allow one of the explanatory variables to be a functional variable, while the dependent variable is scalar. We aim to… read more here.
Keywords: spatial autoregressive; linear spatial; functional partial; semi functional ... See more keywords