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- Sieve极大似然估计Sieve maximum likelihood estimator
- 极大似然估计算法maximum likelihood estimation
- 极大似然估计的信息融合方法及其在水下航行器制导中的应用On Data Fusion Using MaximumLikelihood Method and its Application to Underwater Robot
- 并在极大似然估计的基础上给出了 N的区间估计及检验统计量 .Based on the MLE. of N,t he interval estimation and test statistics of N are given.
- Logistic回归系数的极大似然估计and work on until we find out the main factors and form the prediction. To compare the effect of the prediction
- 极大似然估计maximum likelihood estimate
- 拟极大似然quasi-maximumlikelihood
- 拟极大似然估计quasi-maximum likelihood estimation
- 极大似然抽样maximum likelihood estimate sampling
- 极大似然估计量maximum likelihood estimator
- 极大似然预估maximum likelihood estimation
- 约束极大似然估计constrained maximum-likelihood estimation
- 极大似然检验maximum likelihood test
- 完全极大似然估计Matlab totally maximum likelihood estimation
- 极大似然融合maxlikehood fusion
- 有限信息极大似然估计limited information maximum likelihood estimation
- 极大似然方法Maximum likelihood method
- 充分信息极大似然估计full information maximum likelihood estimation
- 结果表明极大似然算法对随机测量噪声具有更高的稳定性和适应性。The result showed that the maximum likelihood algorithm possesses higher stability and suitability on the random measured noise.