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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 "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2018.1494836
Abstract: Abstract Semi-functional linear regression models are important in practice. In this paper, their estimation is discussed when function-valued and real-valued random variables are all measured with additive error. By means of functional principal component analysis…
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Keywords:
semi functional;
errors variables;
functional linear;
variables models ... 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