confidenceintervalsofvariancefunctionsingeneralizedlinearmodel
文献类型:期刊论文
作者 | Yong Zhou![]() |
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 |
推荐引用方式 GB/T 7714 | 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
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。