In this paper, a nonparametric estimator terminated of failure rate is constructed based on censored data, and its rates of convergenceinmeansquare and strong consistency are given respectively.
本文在截尾样本下构造了失效率的一种截尾非参数估计,并给出了其均方收敛及强相合性的局部一致收敛速度。
2
In comparison with traditional LMS algorithm, WO-LMS algorithm can achieve both lower steady meansquare error and faster convergence speed.
与传统的LMS算法相比,WO - LMS算法既提高了收敛速度又可以得到较低的稳态均方误差。
3
In the MCMA, adjusting the scale coefficients of two gradient vectors can improve the convergence rate and reduce residual meansquare error.