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L-1 linear interpolator for missing values in time series
Lu, Z; Hui, YV
2003-03-01
发表期刊ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS
ISSN0020-3157
卷号55期号:1页码:197-216
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.
关键词autoregressive process innovation departure linear interpolation minimum mean absolute error missing values
语种英语
WOS研究方向Mathematics
WOS类目Statistics & Probability
WOS记录号WOS:000182153400014
出版者KLUWER ACADEMIC PUBL
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/18692
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
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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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