L-1 linear interpolator for missing values in time series
Lu, Z; Hui, YV
刊名ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS
2003-03-01
卷号55期号:1页码:197-216
关键词autoregressive process innovation departure linear interpolation minimum mean absolute error missing values
ISSN号0020-3157
英文摘要We propose a minimum mean absolute error linear interpolator (MMAELI), based on the L-1 approach. A linear functional of the observed time series due to non-normal innovations is derived. The solution equation for the coefficients of this linear functional is established in terms of the innovation series. It is found that information implied in the innovation series is useful for the interpolation of missing values. The MMAELIs of the AR(1) model with innovations following mixed normal and t distributions are studied in detail. The MMAELI also approximates the minimum mean squared error linear interpolator (MMSELI) well in mean squared error but outperforms the MMSELI in mean absolute error. An application to a real series is presented. Extensions to the general ARMA model and other time series models axe discussed.
WOS研究方向Mathematics
语种英语
出版者KLUWER ACADEMIC PUBL
WOS记录号WOS:000182153400014
内容类型期刊论文
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/18691]  
专题中国科学院数学与系统科学研究院
作者单位1.Chinese Acad Sci, Inst Syst Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
2.City Univ Hong Kong, Dept Management Sci, Kowloon, Hong Kong, Peoples R China
推荐引用方式
GB/T 7714
Lu, Z,Hui, YV. L-1 linear interpolator for missing values in time series[J]. ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS,2003,55(1):197-216.
APA Lu, Z,&Hui, YV.(2003).L-1 linear interpolator for missing values in time series.ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS,55(1),197-216.
MLA Lu, Z,et al."L-1 linear interpolator for missing values in time series".ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS 55.1(2003):197-216.
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