In Chapter Two, static parameter estimation is discussed which includes last-square estimation, maximum likelihood estimation, minimum variance estimation, Bayes estimation and consensus measure method.
在第二章讨论了静态的参数估计,其中包括:最小二乘估计、最大似然估计、最小均方误差估计、贝叶斯估计、一致性检验方法。
It has a better conclusion that the maximum likelihood estimation measuring model optimized by genetic algorithm on optimzeing of the error value of node location.
经过遗传算法优化过的基于极大似然估计法测距的改进模型,在节点坐标的误差值优化方面,有着较好的结果。