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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 "Journal of The Korean Statistical Society"
DOI: 10.1007/s42952-020-00065-6
Abstract: In this paper, we focus on the empirical likelihood inference for partially linear single-index errors-in-variables (EV) models when the data are right censored and the censoring indicator is missing at random (MAR). Two bias-corrected empirical…
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Keywords:
likelihood;
linear single;
empirical likelihood;
single index ... See more keywords
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Published in 2019 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2018.1425446
Abstract: ABSTRACT This article considers partially linear single-index models with errors in all variables. By using the Pseudo − θ method (Liang, Härdle, and Carroll 1999), local linear regression and simulation-extrapolation (SIMEX) technique (Cook and Stefanski…
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Keywords:
errors variables;
linear single;
model;
single index ... See more keywords
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Published in 2019 at "Econometric Reviews"
DOI: 10.1080/07474938.2019.1682313
Abstract: Abstract In this article, the usefulness of the extended generalized partially linear single-index (EGPLSI) model introduced by Xia et al. in its ability to model a flexible shape-invariant specification is elaborated. More importantly, a control…
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Keywords:
index;
linear single;
model;
single index ... See more keywords