Empirical likelihood confidence regions of the parameters in a partially single-index varying-coefficient model

In this paper, we investigate a partially single-index varying-coefficient model, and suggest two empirical log-likelihood ratio statistics for the unknown parameters in the model. The first statistic is asymptotically distributed as a weighted sum of independent chi-square variables under some mild...

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Main Authors: Xiang Xing, Liu Wanrong
Format: Article
Language:English
Published: De Gruyter 2019-07-01
Series:Open Mathematics
Subjects:
Online Access:https://doi.org/10.1515/math-2019-0059
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author Xiang Xing
Liu Wanrong
author_facet Xiang Xing
Liu Wanrong
author_sort Xiang Xing
collection DOAJ
description In this paper, we investigate a partially single-index varying-coefficient model, and suggest two empirical log-likelihood ratio statistics for the unknown parameters in the model. The first statistic is asymptotically distributed as a weighted sum of independent chi-square variables under some mild conditions. It is proved that another statistic, with adjustment factor, is asymptotically standard chi-square under some suitable conditions. These useful statistics could be used to construct the confidence regions of the parameters. A simulation study indicates that, with the increase of sample size, the coverage probability of the confidence region constructed by us gradually approaches the theoretical value.
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spelling doaj.art-2ae5641327b245548c2fb3321ae323e92022-12-21T18:38:26ZengDe GruyterOpen Mathematics2391-54552019-07-0117172874110.1515/math-2019-0059math-2019-0059Empirical likelihood confidence regions of the parameters in a partially single-index varying-coefficient modelXiang Xing0Liu Wanrong1Hunan Normal University Changsha, Changsha, ChinaHunan Normal University Changsha, Changsha, ChinaIn this paper, we investigate a partially single-index varying-coefficient model, and suggest two empirical log-likelihood ratio statistics for the unknown parameters in the model. The first statistic is asymptotically distributed as a weighted sum of independent chi-square variables under some mild conditions. It is proved that another statistic, with adjustment factor, is asymptotically standard chi-square under some suitable conditions. These useful statistics could be used to construct the confidence regions of the parameters. A simulation study indicates that, with the increase of sample size, the coverage probability of the confidence region constructed by us gradually approaches the theoretical value.https://doi.org/10.1515/math-2019-0059confidence regionempirical likelihoodpartially single-index varying-coefficient modelchi-square distribution62-xx
spellingShingle Xiang Xing
Liu Wanrong
Empirical likelihood confidence regions of the parameters in a partially single-index varying-coefficient model
Open Mathematics
confidence region
empirical likelihood
partially single-index varying-coefficient model
chi-square distribution
62-xx
title Empirical likelihood confidence regions of the parameters in a partially single-index varying-coefficient model
title_full Empirical likelihood confidence regions of the parameters in a partially single-index varying-coefficient model
title_fullStr Empirical likelihood confidence regions of the parameters in a partially single-index varying-coefficient model
title_full_unstemmed Empirical likelihood confidence regions of the parameters in a partially single-index varying-coefficient model
title_short Empirical likelihood confidence regions of the parameters in a partially single-index varying-coefficient model
title_sort empirical likelihood confidence regions of the parameters in a partially single index varying coefficient model
topic confidence region
empirical likelihood
partially single-index varying-coefficient model
chi-square distribution
62-xx
url https://doi.org/10.1515/math-2019-0059
work_keys_str_mv AT xiangxing empiricallikelihoodconfidenceregionsoftheparametersinapartiallysingleindexvaryingcoefficientmodel
AT liuwanrong empiricallikelihoodconfidenceregionsoftheparametersinapartiallysingleindexvaryingcoefficientmodel