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Published in 2019 at "Metrika"
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…
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Keywords:
functional partial;
semi functional;
linear regression;
regression models ... See more keywords
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Published in 2019 at "Statistical Papers"
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…
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Keywords:
measurement errors;
distortion;
distortion measurement;
linear single ... See more keywords
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Published in 2020 at "Statistical Papers"
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…
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Keywords:
longitudinal data;
partial linear;
robust efficient;
estimating equations ... See more keywords
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Published in 2021 at "Journal of Applied Statistics"
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...
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Keywords:
model estimation;
selection;
partial linear;
varying coefficient ... See more keywords
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Published in 2018 at "Communications in Statistics - Theory and Methods"
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…
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Keywords:
ridge liu;
difference based;
based ridge;
partial linear ... See more keywords
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Published in 2020 at "Communications in Statistics - Theory and Methods"
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…
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Keywords:
spatial autoregressive;
linear spatial;
functional partial;
semi functional ... See more keywords
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Published in 2025 at "Journal of Nonparametric Statistics"
DOI: 10.1080/10485252.2025.2459707
Abstract: In this paper, we investigate the partial linear quantile regression model with incomplete observation for functional covariates. Concretely, we first construct the estimators of the unknown slope function and the unknown parameters of the model.…
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Keywords:
regression model;
linear quantile;
functional covariates;
model ... See more keywords
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Published in 2024 at "Polish Journal of Environmental Studies"
DOI: 10.15244/pjoes/186425
Abstract: Assessing the effect of financial development on carbon pollution has recently attracted growing interest due to the important role of finance in the overall economic and energy system. However, numerous studies explored the direct impact…
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Keywords:
analysis;
finance;
indirect effects;
financial development ... See more keywords