中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
confidenceintervalsofvariancefunctionsingeneralizedlinearmodel

文献类型:期刊论文

作者Yong Zhou; Daoji Li
刊名actamathematicaeapplicataesinica
出版日期2006
卷号22期号:3页码:353
ISSN号0168-9673
英文摘要In this paper we introduce an appealing nonparametric method for estimating variance and conditional variance functions in generalized linear models (GLMs), when designs are fixed points and random variables respectively, Bias-corrected confidence bands are proposed for the (conditional) variance by local linear smoothers. Nonparametric techniques are developed in deriving the bias-corrected confidence intervals of the (conditional) variance. The asymptotic distribution of the proposed estimator is established and show that the bias-corrected confidence bands asymptotically have the correct coverage properties. A small simulation is performed when unknown regression parameter is estimated by nonparametric quasi-likelihood. The results are also applicable to nonparamctric autoregressive times series model with heteroscedastic conditional variance.
语种英语
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/45647]  
专题应用数学研究所
作者单位中国科学院数学与系统科学研究院
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Yong Zhou,Daoji Li. confidenceintervalsofvariancefunctionsingeneralizedlinearmodel[J]. actamathematicaeapplicataesinica,2006,22(3):353.
APA Yong Zhou,&Daoji Li.(2006).confidenceintervalsofvariancefunctionsingeneralizedlinearmodel.actamathematicaeapplicataesinica,22(3),353.
MLA Yong Zhou,et al."confidenceintervalsofvariancefunctionsingeneralizedlinearmodel".actamathematicaeapplicataesinica 22.3(2006):353.

入库方式: OAI收割

来源:数学与系统科学研究院

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