极大似然法 meaning in Chinese
maximum likelihood (mle)
maximum likelihood method
method of maximum likelihood
Examples
- One point method , mean square curve method and the maximum likelihood principle to predict p - s - n curve for welded steel structures for arbitary survival rate are presented
本文建立了任意存活率下焊接钢结构p - s - n曲线预测的一点法，均方差曲线法极大似然法。 - In this paper , we discussed the procedures of quantiles , maximum - likelihood , probability weighted moments , moments , least square , the best linear unbiased estimate , good linear unbiased estimation , and the best invariant estimate to the parameters of gumbel distribution , then give out the expectation and variance - covariance respectively . we compared the statistical behavior of these eight estimate procedures not only theoretically but also in the monte - carlo simulation
本文利用分位数法、极大似然法、概率加权矩法、矩法、最小二乘法、最佳线性无偏估计法、简单线性无偏估计法、最好线性同变估计法对gumbel分布中的参数进行估计，分别给出了这八种估计量的期望、方差和协方差。 - Firstly , we estimate the variance and the mean of each cell with maximum likelihood ; secondly , we identify the important dispersion effects based on least squares analysis of the logarithm of within - replication variance ; last , we identify the important location effects based on weighted least squares analysis of the mean of each cell . a simulation study also demonstrates its superiority over some existing methods . an experiment for the robust design of thermostat is used to illustrate the method
本文对带有右截尾数据的有重复因子试验，提出了另一种分析位置效应和散度效应的方法：首先，在每一个试验点，对重复试验观察值用极大似然法估计出均值和方差；其次，用每个试验点方差估计值的对数作为响应变量与各因子建立回归模型，鉴别出显著的散度效应；之后，采用加权最小二乘法鉴别出比较显著的位置效应。 - The 3 - d exact maximum likelihood registration algorithm ( eml ) incorporates the effects of measurement noise . the registration estimates are obtained by the maximum likelihood function of the sensors measurement . the simulation results indicate that the estimates of registration errors have better consistency and stability
三维精确极大似然法( eml )考虑了量测噪声的影响，配准估计是通过求最大似然函数获得的；仿真结果表明：配准误差具有很好的稳定性和一致性。 - Considering the three parameters weibull distribution which is more congruous to fact than the two parameters weibull distribution in dealing with the electric intension data , the method of maximum likelihood estimation and the method of the two binomial regression is applied in estimating the three parameters weibull distribution in this paper
鉴于三参数weibull分布在处理电气强度数据时比二参数更符合实际，本文介绍利用二项式回归法和极大似然法对三参数weibull分布参数进行点估计的方法。