估计理论

Supporting the vector quantity machine puts forward a new learning method according to statistics the study theory , receiving domestic and international of academia extensive attention in recent years, and have been used widely in pattern-recognition and function estimate.

摘 要：支持向量机是根据统计学习理论提出的一种新的学习方法，近年来受到了国内外学术界的广泛重视，并已在模式识别和函数估计中得到广泛应用。

We discuss about the theory and application significance of the study on the interest rate term structure.

然后， 我们研究了利率期限结构的理论基础，包括其形成过程的三种假设，静态估计中的 Nelson-Siegel 模型及Svensson 扩展模型，动态模型中的双因子 CIR 模型及其扩展模型。

Finally, we establish rational spectral formation of discrete with regard to time and space, and gained the error estimate in the finite-time in the abstract.

最后，我们构造了同时关于时间空间方向离散的谱格式，并从理论上建立了在有限时间上的全离散格式近似解的误差估计。

Topics include: sample spaces, axioms of probability, conditional probability and independence, discrete and continuous random variables, jointly distributed random variables, characteristics of random variables, law of large numbers and central limit theorem, basic experimental design, elementary probability, binomial and normal distributions, estimation and test of hypotheses, and analysis of variance.

概率论部分作为基础知识，是全部内容的重点之一，为读者提供必要的理论基础；数理统计部分，主要介绍常用的统计推断方法：参数估计、假设检验、方差分析、回归和相关分析等内容。

Chapter 2 is the narrative part of the theory and method of VaR and CVaR.

VaR的理论基础主要包括四部分： VaR的基本概念、VaR的基本计算方法、基于核密度估计的历史模拟法和VaR 的检验方法介绍。

The theoretical calibrations are consistent with the data from hydrothermal experiments and empirical estimates.

这些理论校准与热液交换实验和/或经验估计的结果吻合得较好。

In theory, this method enriches the pose estimation methods from three line correspondences. In addition, it provides guidance for practical applications.

在理论上，这种方法是对基于三条直线位姿估计方法的丰富，同时这种方法也能为实际工程应用提供支持。

Moreover,the array considered here can be of arbitrary geometry and even uncalibrated.

理论分析与仿真结果表明，该方法能够有效地进行阵列响应估计和信号分离，在空分多址的实现方面具有较强的实用性。

The Bayesian estimation is derived through statistical analysis and it is shown to be equivalent to the maximization of the a Posteriori Probability.

通过理论分析得到了简化的贝叶斯信道估计权值，其等同将后向概率的最大化。

So that more consumers can enjoy more delicious quality, technology is even better than wine.

让更多的消费者可以品尝到品质更为鲜美，工艺更为精湛的葡萄酒。

Open it in your favorite text editor .

在你最喜爱的文本编辑器中将它打开。