谐波频谱分析是深入了解电能质量特性的关键手段.目前,参数化分析方法因具有超分辨率能力而逐渐被广泛应用,但其对噪声非常敏感,尤......

This paper describes a data reconstruction technique for a multi-function sensor based on the Mestimator, which uses lea......

利用经验似然方法讨论了φ-混合样本下有附加信息时M-估计及分位数估计的渐近性质,得到了估计渐近正态的结果.......

经典变分反演法是基于观测误差服从高斯分布的假定，对偏离均值较大的离群值较敏感。当实际观测数据包含离群值观测误差呈现非高斯分......

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给出了多元线性EV模型下协变量具有随机缺失(MAR)时参数的稳健估计方法,并证明了估计的渐近正态性.模拟研究表明估计量在有限样本......

针对传统迭代最近点算法不具备抗差性的难题,利用迭代最近点算法配准残差的分布规律,综合M估计及选权迭代思想,提出改进权重的迭代......

Asymptotic results are obtained using an approach based on limit theorem results obtained for α-mixing sequences for th......

Time-varying coefficient models are useful in longitudinal data analysis. Various efforts have been invested for the est......

Maximum likelihood (ML) estimation for the generalized asymmetric Laplace (GAL) distribution also known as Variance gamm......