autoregressive processes;
least squares estimate;
generalized M-estimate;
median substitute estimate;
additive outliers;
D O I:
10.1080/03610920008832467
中图分类号:
O21 [概率论与数理统计];
C8 [统计学];
学科分类号:
020208 ;
070103 ;
0714 ;
摘要:
Estimation of the parameter phi of an autoregressive process of order one, {X-t}, is considered. An estimation procedure referred to as the Median Substitute (MS) method based on the empirical median of {Xt-1Xt} is proposed. phi(MS), the MS estimate of phi, is proven to be consistent and asymtotically normal. A simulation study is carried out to show the viability of the proposed method in comparison with some other robust procedures.
机构:
Departament d'Estadística, Universitat de Barcelona, Gran Via de les Corts Catalanes, 08007 Barcelona, SpainDepartament d'Estadística, Universitat de Barcelona, Gran Via de les Corts Catalanes, 08007 Barcelona, Spain
机构:
North Carolina A&T State Univ, Dept Math & Stat, Marteena Hall,1601 East Market St, Greensboro, NC 27411 USANorth Carolina A&T State Univ, Dept Math & Stat, Marteena Hall,1601 East Market St, Greensboro, NC 27411 USA
Elbayoumi, Tamer M.
Mostafa, Sayed A.
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机构:
North Carolina A&T State Univ, Dept Math & Stat, Marteena Hall,1601 East Market St, Greensboro, NC 27411 USANorth Carolina A&T State Univ, Dept Math & Stat, Marteena Hall,1601 East Market St, Greensboro, NC 27411 USA
机构:
Univ York, Dept Econ & Related Studies, York YO10 5DD, N Yorkshire, EnglandUniv York, Dept Econ & Related Studies, York YO10 5DD, N Yorkshire, England
Burridge, Peter
Hristova, Daniela
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h-index: 0
机构:
Univ York, Dept Econ & Related Studies, York YO10 5DD, N Yorkshire, EnglandUniv York, Dept Econ & Related Studies, York YO10 5DD, N Yorkshire, England