估计随机变量母体均值的加权数据融合方法

A method for weighted data fusion to estimate the population mean-value of random variables

提出了一种把多源信息综合处理的数据融合方法。该方法依据极大似然原理将来自不同母体(均值相同、方差不同)的随机样本有效融合,得到新的母体均值估计量。该估计量具有无偏性,并且比其它传统估计量更加有效。理论和实践证明,用该方法处理数据可提高检测精度。

The paper presents a data fusion method of multi-source information disposing.According to maximum likelihood theory,it fuses random samples coming from different matrix(same mean different variance) in an effective way,and gains a nwe estimator of matrix mean.This estimator is unbias and more avaliabe compared with other traditional estimators.Precision may be improved by this method,which has been testified by theory and practice.