中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
DENSITY-ESTIMATION IN STRONGLY DEPENDENT NONLINEAR TIME-SERIES

文献类型:期刊论文

作者CHENG, B; ROBINSON, PM
刊名STATISTICA SINICA
出版日期1991-07-01
卷号1期号:2页码:335-359
关键词DENSITY ESTIMATION LONG MEMORY TIME SERIES NONLINEAR TIME SERIES NORMAL AND NONNORMAL LIMITING DISTRIBUTIONS INTEGRATED MEAN SQUARED ERROR
ISSN号1017-0405
英文摘要Smoothed nonparametric density estimates can be useful in analysing nonlinear time series. Their asymptotic properties in weakly dependent series, including limiting distributions and mean squared error, are known to be similar to those in independent series. Robinson (1987) found evidence that these properties may not hold in strongly dependent, or "long-memory" Gaussian time series. The present paper derives normal and non-normal limiting distributions in case of long-memory nonlinear series, provides a numerical comparison of integrated mean squared error, and reports estimates based on simulated series.
WOS研究方向Mathematics
语种英语
WOS记录号WOS:A1991GA76900002
出版者STATISTICA SINICA
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/27733]  
专题应用数学研究所
作者单位1.CHINESE ACAD SCI,INST APPL MATH,BEIJING,PEOPLES R CHINA
2.UNIV LONDON LONDON SCH ECON & POLIT SCI,DEPT CYTOL,LONDON WC2A 2AE,ENGLAND
推荐引用方式
GB/T 7714
CHENG, B,ROBINSON, PM. DENSITY-ESTIMATION IN STRONGLY DEPENDENT NONLINEAR TIME-SERIES[J]. STATISTICA SINICA,1991,1(2):335-359.
APA CHENG, B,&ROBINSON, PM.(1991).DENSITY-ESTIMATION IN STRONGLY DEPENDENT NONLINEAR TIME-SERIES.STATISTICA SINICA,1(2),335-359.
MLA CHENG, B,et al."DENSITY-ESTIMATION IN STRONGLY DEPENDENT NONLINEAR TIME-SERIES".STATISTICA SINICA 1.2(1991):335-359.

入库方式: OAI收割

来源:数学与系统科学研究院

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