1) random weighting estimation
随机加权估计
1.
By applying an emergent random weighting estimation method to multi-sensor data fusion,a random weighting data fusion method of multi-source information disposing was proposed in this paper.
将一种新兴的随机加权估计方法应用于多传感器数据融合,提出了一种将多源信息综合处理的随机加权数据融合方法。
2.
Research results show that multi-sensor information fusion method based on random weighting estimation.
文中将随机加权估计计算方法应用于多传感器信息融合,提出了一种基于随机加权估计的多维位置数据最优融合方法。
2) online random weighted estimating
在线随机加权估计
3) randomly weighted least square estimator
随机加权最小二乘估计
1.
The randomly weighted least square estimator (RWLSE) for the parametric component in semi-parametric regression models was mainly discussed.
主要考虑了同方差型的半参数线性回归模型中参数的随机加权最小二乘估计(RWLSE)。
6) random weighting
随机加权
1.
Application of Bayesian method based on random weighting in reliability parameter estimation;
基于随机加权的Bayes方法在可靠性参数估计中的应用
2.
The SPOT method for reliability verification under two parameter weibull distribution is discussed,whereas there is little history data,random weighting simulation is used to estimate the figure parameter of Weibull distribution and the prior test parameter.
研究了二参数Weibull分布下可靠性指标验证的SPOT方法,鉴于少量的历史数据,采用随机加权法对Weibull分布的形状参数和待检验指标的验前超参数进行估计,为Weibull分布的SPOT验证提供了参数值。
3.
Using the random weighting method, its approximating distribution which is more precise than normal approximation is obtained.
研究了一类有渐近展开分布的逼近问题，应用随机加权法给出了比正态逼近精度更高的模拟分布。
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