共 3 条
On several local asymptotic properties for fractional autoregressive models with strong mixing noises
被引:0
|作者:
Seba, Djillali
[1
]
Belaide, Karima
[1
]
机构:
[1] Univ Bejaia, Dept Math, Appl Math Lab, Bejaia, Algeria
关键词:
Fractional autoregressive process;
Local asymptotic linearity;
Local asymptotic minimaxity;
Local asymptotic normality;
Strong mixing;
ADAPTIVE ESTIMATION;
NORMALITY;
D O I:
10.1080/03610918.2022.2055069
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:
This paper is devoted to study several local asymptotic properties for fractional autoregressive models with strong mixing noises, we treat local asymptotic normality using Swensen's lemma, then we deal with local asymptotic minimaxity and local asymptotic linearity, these properties are fundamental and prepare the way for the construction of adaptive estimator. In order to measure the performance of our approach we deal with simulation study, it allows us to check the validity of the theoretical results.
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页码:1744 / 1757
页数:14
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