方差矩阵

Given the training data the algorithm estimates mean vectors and covariation matrices for every class and then it uses them for prediction.

当给定了训练数据，算法将会估计每一个类别的向量均值和方差矩阵，然后根据这些进行预测。

In the calculation of futures costandard matrix, we use the MVGARCH model to reflect the cash's influence on the futures and the nonlinear changing of futures and cashes, thus the accuracy of hedge ratio would be inhanced, and we provide a new thought to solve the cross hedging ratio.

通过多元GARCH模型在计算期货合约的协方差矩阵的同时考虑了现货对期货的影响，反映了期货与现货收益率的非线性变化，提高了套期保值比率计算的精度，提供了交叉套期保值比率确定的合理思路。

In the calculation of futures costandard matrix, we use the MVGARCH model to reflect the cashs influence on the futures and the nonlinear changing of futures and cashes, thus the accuracy of hedge ratio would be inhanced, and we provide a new thought to solve the cross hedging ratio.

通过多元GARCH模型在计算期货合约的协方差矩阵的同时考虑了现货对期货的影响，反映了期货与现货收益率的非线性变化，提高了套期保值比率计算的精度，提供了交叉套期保值比率确定的合理思路。

Secondly, by the P-L estimation of survivor function, this paper proposed the regression models of polynomial cumulative hazard function distribution models, respectively in the case of complete date and random right censoring date; meanwhile generalized least squares estimations of unknown parameters were proposed respectively using two steps algorithm and principal component analysis algorithm.

与已有的关于多项式危险函数模型的研究成果相比，首先本文在统计模型的构造上充分考虑了累积危险函数乘积限估计量的非独立性，给出了协方差矩阵的估计；其次在模型检验方面，本文利用非参数回归分析方法，充分利用了数据本身的信息，减少了对回归关系假定的主观因素，因而分析结果更为可靠。

The sufficient and necessary conditions of positive definitiveness of a covariance matrix from multivariate discrete data are obtained.

本论文通过引入p-向量配、I-线性组合及它们的性质，研究离散型样本协方差矩阵的正定性问题。

Further more, this thesis has provided a new method for optimizing sampling in theory, and established the probability model for the positive definitiveness of discrete sample by which the number of sampling was optimized.

在应用上，建立了离散型样本协方差矩阵正定的概率模型；提出了一种新的优化抽样调查设计方案，优化了抽样个数。

Studying the positive definitiveness of the covariance matrix from discrete data is important to design the sampling plan and provides the base for the data analysis.However, there have been few outcomes about the positive definitiveness of covariance matrix, most of which have been restricted to the Covariance-matrix of continuous sample.

研究离散型样本协方差矩阵的正定性有助于判断是否可以降低样本的维数，有利于优化抽样个数，为抽样调查的优化设计方案提供一定的理论基础；为基于特征根的多元统计分析提供理论指导。

This thesis discussed the positive definitiveness of the covariance matrix of sample whose variables are discrete data by using p-vector match, I-Linear combination and their properties.

对于变量取离散数据的样本协方差矩阵的正定性，很少有学者进行研究。

The hidden Markov model based on diagonal covariance matrix Gaussian distributions is at present the most popular and successful model in speech recognition.

状态输出概率密度为对角协方差矩阵高斯分布的隐马尔可夫模型在帧内特征相关建模方面存在缺陷。

This present algorithm further distinguishes itself through sufficiently utilizes the advantage that the vector sensors provide from other beam space DOA algorithms in several regards: 1 beams are formed in the vector-field domain; 2 produce at moderate signal-to-noise ratio estimation performance comparable to the traditional scale array methods;3 these vector-field beams are formed blindly using no apriori source information and coarse estimates of the direction cosine are derived to start off MUSICs iterative search so it demand less computation; 4 deploy agilely , since the fact that the output channel is various .

本文提出了矢量传感器阵列的自适应综合校准补偿方法，还提出利用单矢量传感器速度协方差矩阵分解来求解目标源方位，使得我们不要求校准源是合作性的，也无需知道校准源的先验知识，这比起常规辅助源校准方法具备较大宽容性。随着高性能阵列处理技术及数字信号处理硬件的快速发展和矢量传感器制造工艺的不断成熟，矢量传感器将在新型水雷、低频远程智能鱼雷、声纳浮标、低频拖曳线列阵和新型舰壳声纳，灵巧传感终端，战场监视系统，反隐形雷达，通讯等军民用领域取得良好的发展应用前景。

In the United States, chronic alcoholism and hepatitis C are the most common ones.

在美国，慢性酒精中毒，肝炎是最常见的。

If you have any questions, you can contact me anytime.

如果有任何问题，你可以随时联系我。