A Direct Modeling Method of the Unbiased GM(1,1);
无偏灰色GM(1,1)模型的直接建模法
After analyzed the traditional GM(1,1) gray model and unbiased gray model,the unbiased new information model of equal dimension is promoted.
在分析了传统GM(1,1)模型和无偏灰色预测模型的基础上提出了无偏等维新息预测模型,通过运算得出最佳预测值以及预测的最佳维数区,并采用后验差方法对模型的精度进行检验。
By analysing the differential equation of GM(1,1),this paper gives an unbiased GM(1,1) model and proposes a new method of estimation of the GM(1,1)model parameters.
通过分析GM (1,1)白化方程的解析表达式 ,建立了无偏的GM (1,1)模型 ,给出了估计模型参数的新方法。
[Results] The values monitored were of logarithmic normal distribution; unbiased estimations of mean and standard deviation of MLE were 34.
[结果]该现场劳动卫生测定资料服从对数正态分布;MLE均值和标准差无偏估计分别为3 4。
By using the theory of judgement as a starting point the condition of unbiased estimation was offered so as to obtain the unbiased estimation of the parameter when loss was strictly convex .
本文主要从判决理论的观点出发，给出使用无偏估计的条件，求参数的无偏估计，在损失为严凸的情况下，先找一个完全统计量，再找任一无偏估计＾ｇ（ Ｘ） ，计算条件期望 Ｅ（＾ｇ｜ Ｔ） 即可。
Unbiased estimation performance for finite snapshots is discussed in this paper.
关于累量域估计的研究以前主要着重于渐进性能的研究,包括渐近无偏估计及渐近方差。