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Estimating the Index of Increase via Balancing Deterministic and Random Data 通过平衡确定性和随机性数据来估计增长指数
IF 0.5 Q3 STATISTICS & PROBABILITY Pub Date : 2017-12-27 DOI: 10.3103/S1066530718020011
Lingzhi Chen, Y. Davydov, N. Gribkova, R. Zitikis
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引用次数: 17
Asymptotic Distribution of Least Squares Estimators for Linear Models with Dependent Errors: Regular Designs 具有相关误差的线性模型最小二乘估计的渐近分布:正则设计
IF 0.5 Q3 STATISTICS & PROBABILITY Pub Date : 2017-10-16 DOI: 10.1080/02331888.2019.1593987
E. Caron, S. Dede
We consider the usual linear regression model in the case where the error process is assumed strictly stationary.We use a result of Hannan, who proved a Central Limit Theorem for the usual least squares estimator under general conditions on the design and the error process.We show that for a large class of designs, the asymptotic covariance matrix is as simple as in the independent and identically distributed (i.i.d.) case.We then estimate the covariance matrix using an estimator of the spectral density whose consistency is proved under very mild conditions.
在假设误差过程严格平稳的情况下,我们考虑通常的线性回归模型。我们利用Hannan的结果,证明了一般最小二乘估计在一般条件下的中心极限定理。我们证明,对于一大类设计,渐近协方差矩阵与独立同分布(i.i.d)情况一样简单。然后,我们使用谱密度估计器估计协方差矩阵,该估计器在非常温和的条件下证明了一致性。
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引用次数: 7
Laguerre deconvolution with unknown matrix operator 未知矩阵算子的Laguerre反卷积
IF 0.5 Q3 STATISTICS & PROBABILITY Pub Date : 2017-10-01 DOI: 10.3103/S1066530717040019
F. Comte, G. Mabon
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引用次数: 5
Efficient estimation of the error distribution in a varying coefficient regression model 变系数回归模型误差分布的有效估计
IF 0.5 Q3 STATISTICS & PROBABILITY Pub Date : 2017-09-23 DOI: 10.3103/S1066530717030024
A. Schick, Y. Zhu
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引用次数: 1
Minimax signal detection under weak noise assumptions 弱噪声假设下的极小极大信号检测
IF 0.5 Q3 STATISTICS & PROBABILITY Pub Date : 2017-09-19 DOI: 10.3103/S1066530717040032
C. Marteau, T. Sapatinas
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引用次数: 1
Efficient estimation of the error distribution in a varying coefficient regression model 变系数回归模型误差分布的有效估计
IF 0.5 Q3 STATISTICS & PROBABILITY Pub Date : 2017-07-01 DOI: 10.1080/10485252.2018.1429608
A. Schick, Y. Zhu
It is shown that the weighted residual-based estimator of Schick, Zhu, and Du (2017) is efficient in some special cases and can be made to be efficient by adding a stochastic correction term. The efficiency is shown by deriving the efficient influence function and establishing a uniform stochastic expansion with this influence function. The correction term relies on estimators of the score function for the errors and other characteristics of the model.
结果表明,Schick、Zhu和Du(2017)的基于加权残差的估计在某些特殊情况下是有效的,并且可以通过添加随机校正项来使其有效。通过推导有效影响函数并利用该影响函数建立一致随机展开,表明了有效性。校正项依赖于模型的误差和其他特征的得分函数的估计量。
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引用次数: 2
Classes of improved estimators for parameters of a Pareto distribution 一类改进的Pareto分布参数估计量
IF 0.5 Q3 STATISTICS & PROBABILITY Pub Date : 2017-07-01 DOI: 10.3103/S106653071703005X
L. K. Patra, S. Kumar
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引用次数: 9
Boundary Crossing Probabilities for General Exponential Families 一般指数族的边界跨越概率
IF 0.5 Q3 STATISTICS & PROBABILITY Pub Date : 2017-05-24 DOI: 10.3103/S1066530718010015
Odalric-Ambrym Maillard
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引用次数: 12
Admissibility of Invariant Tests for Means with Covariates 协方差均值不变检验的可容许性
IF 0.5 Q3 STATISTICS & PROBABILITY Pub Date : 2017-04-03 DOI: 10.3103/S106653071904001X
M. Tsai
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引用次数: 2
Moment convergence in regularized estimation under multiple and mixed-rates asymptotics 多速率和混合速率渐近下正则化估计的矩收敛性
IF 0.5 Q3 STATISTICS & PROBABILITY Pub Date : 2017-04-01 DOI: 10.3103/S1066530717020016
清水 優祐, Y. Shimizu
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引用次数: 26
期刊
Mathematical Methods of Statistics
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