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Weighted quasi-likelihood estimation based on fuzzy clustering analysis method and dimension reduction technique

机译:基于模糊聚类分析和降维技术的加权拟似然估计

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摘要

For simplifying the fuzzy-weighted quasi-likelihood estimation procedure and reducing the influence of outliers in quasi-likelihood estimation, optimal fuzzy clustering analysis method and dimension reduction technique are combined to de- velop a modified fuzzy -weighted quasi-likelihood estimation method. Under some weak conditions, the asymptotic properties of modified fuzzy-weighted quasi-likelihood estimator are derived. Simulation results show the modified fuzzy-weighted quasi-likelihood estimator performs well in finite sample. Moreover, the method is studied on several examples.
机译:为了简化模糊加权拟似然估计程序,减少离群值在拟似然估计中的影响,将最优模糊聚类分析方法和降维技术相结合,提出了一种改进的模糊加权拟似然估计方法。在某些弱条件下,推导了改进的模糊加权拟似然估计的渐近性质。仿真结果表明,改进的模糊加权拟似然估计器在有限样本中表现良好。此外,在几个示例上研究了该方法。

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