unbiased estimator造句

• Minimum variance unbiased estimator
  最小方差非偏估计
• Robustness of minimum norm quadratic unbiased estimator of variance for the general linear model
  一般线性模型下方差最小范数二次无偏估计的稳健性
• Robustness of minimum norm quadratic unbiased estimator of variance under the general linear model
  一般线性模型下方差的最小范数二次无偏估计的稳健性
• When gauss - markov assumptions hold , we need not look for alternative unbiased estimators
  当高斯马尔科夫假定成立时，我们不需要再去找其它无偏估计量了。
• Based on wavelet analysis , wls is the best linear unbiased estimator of regression model parameters in the context of l / f noise
  基于小波技术的wls法是具有1 f噪声的系统回归模型参数的最佳线性无偏估计。
• Unbiased estimators are not necessarily consistent , but those whose variances shrink to zero as the sample size grows are consistent
  无偏估计量未必是一致的，但是那些当样本容量增大时方差会收缩到零的无偏估计量是一致的。
• The results indicate that if all the investors all full rational , the equilibrium price , whether using close call auction or open call auction , is the unbiased estimator of the risky assets true value
  研究结论表明，若所有的投资者都是理性的，无论采用封闭式集合竞价还是开放式集合竞价，那么均衡价格均是风险资产真实价值的无偏估计量。
• A verification technique , which obtains unbiased estimator for the means and variance of several global and local features is presented and a matching way after acquiring the threshold by probability density function is achieved
  摘要论述了在获得在线手写签名的曲线的一些局部和全局特征的平均值和方差的无偏估计的基础上，通过概率密度函数进而获取阈值进行匹配的鉴别方法。
• In the sense of mean squares , maximum likelihood estimator , best linear unbiased estimator , taest linear invariant estimator , and good linear estimator are contracted . fourth , proposed and researched the reliability analysis method under the zero - failure data and doof data . based on the part beta distribution as the prior distribution of failure probability p , = p ( t < r , } , hierarchical bayesian estimate method was discussed , obtain the reliability analysis method under the zero - failure data and the doof data
  第四，提出并研究了无失效数据类型和doof数据类型下电连接器的可靠性分析方法，提出了以不完全beta分布为一级先验分布，超参数为[ 0 ， 1 ]上的均匀分布作为失效概率先验分布的多层bayes方法，结合加权最小二乘法解决了产品在无失效数据和doof数据下的可靠性分析问题。