数据估计的英文

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用"数据估计"造句

data evaluation

数据: data; record; information
估计: estimate; evaluate; take sto ...
据估计: by estimate; it is estimated that
据估计损失达三万元以上: the loss is estimated to reach upwards of 30 000 yuan
人们认为……据说，据报道，据估计: it is believed(said,reported,estimated)that

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The variable bandwidth local linear regression method we used in this paper have the advantages of both the local linear regression method and the variable bandwidth idea . the variable bandwidth henced the flexibility of the estimation . and it make this method can fit the spacial complex curve very well . and the asymptotic results of the estimation found the theoretic base for find the best variable bandwidth and drive the pratical best variable bandwidth from data directly
本文所用的变窗宽局部线性回归方法，继承了局部线性回归的优点，并且使用变窗宽提高了所得估计的可塑性。并使之能成功地处理空间非齐次曲线等复杂形状的曲线拟合问题。所得估计的渐近结果为求渐近最优窗宽方案以及直接从数据估计最优变窗宽提供了理论基础。
2 ) we can do it by applying the dcf model and earning income scheme . second ly , whereas these theories are applied very well abroad , i will discuss the practicability of these theories when we use in chinese stock market , then i will draw a conclusion that there is some localization when these theories are applied in chinese stock market . finally , by studying the markov process , we can see the equity risk premium data which are derived from chinese stock market have characteristic of markov process , so i will establish the model based on the markov process and make a short time forecast about chinese equity risk premium
我们首先对诸多国外理论工作者在这方面的研究做一次总体的介绍与分析，国外的理论工作者在研究股权风险溢价，可以分为两大类：一是运用历史数据估计未来股票市场的业绩；二是以运用dcf模型或收入收益方案为基础进行的研究工作；其次，鉴于上述理论在国外良好的实用性，我们进一步讨论这些国外的理论在研究中国股票市场股权风险溢价时的实用性，并得出这些理论应用于中国股票市场的局限性；最后，通过对马氏链的研究得出中国股票市场上的股权风险溢价的样本数据同样满足马氏链的特征，本文建立了基于马氏链的股权风险溢价模型。
This paper studies the random transferring of the yield of chinese treasury security by markov model , firstly concluding that the dynamics of the yield of the treasury security obeys the markov model , secondly estimating the matrix of probability of transferring by historical data , lastly making an predicting of the future trend of the yield
本文采用马尔可夫链对中国国债收益率的随机转移性质进行了研究，首先用x ~ 2统计量验证了国债收益率的运动过程符合马尔可夫链，然后运用历史数据估计出转移概率矩阵，最后对国债收益率的未来走势进行了预测。

数据估计的英文

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