查询词典 conditional convergence

By the geometric probability model,the intuitionistic method is provided for the marginal density function and conditional probability density function .

利用几何概型得出均匀分布的边缘密度函数和条件概率密度函数的直观求法。

This thesis is composed of two sections in which we discuss generalized spectral density test of conditional autoregressive heteroscedasticity for threshold autoregressive model.

本文分两节对门限自回归模型中自回归条件异方差的广义谱密度检验进行了讨论。

According to these two joint density functions, various joint probability density functions between the ambiguity solution and the position parameter solution are obtained, and various conditional probability density functions of baseline position parameter vectors are also obtained.

根据这两个联合概率密度公式得到了各种类型的模糊度和基线位置参数向量的联合概率密度函数，还得到了各种类型基线位置参数向量的条件概率密度函数。

On the basis of the data obtained from the field observations and wind-tunnel modelling, the calculations and comparisons on probability distribution and density, linear correlation analysis of time series, conditional probability density and so on of wind speeds and directions between various sites are made with the aid of statistical analysis of time series, and changes of these variables with height and representativeness of observation period of meteorological data are also discussed.

本文以现场气象观测和风洞模拟实验数据为基础，通过对时间序列进行的统计分析，计算和比较了各个厂址风速、风向的概率分布、概率密度、时间序列线性相关分析、条件概率密度等，还对它们随高度的变化情况、观测时段代表性等问题进行了讨论。

After the joint probability density function between the 'float' ambiguity solution and the fixed ambiguity solution is introduced in this section, the conditional probability density function of the integer ambiguity solution is gotten according to this joint probability density function.

在介绍了模糊度浮点解和其固定解的联合概率密度函数之后，本文根据这个联合概率密度函数得到了模糊度整数解的条件概率密度函数。

Weapply the kernel methods of regression functions and conditional density functions to obtain aseries ofβas the estimators ofβ.

回归函数核估计方法中，又分别提出了在选定连续样本点和离散样本点时的两种非参数估计模型，并对这两种模型做了详细的阐述。

We apply the kernel methods of regression functions and conditional density functions to obtain a series of as the estimators of . Then using Monte Carlo Analysis method , we can get the optimal choice of the unknown parametric that is . Examples illustrate the models and will show this estimation is effective.

应用回归函数核估计和条件密度函数的核估计方法估计未知量，将得到的一组估计值用Monte Carlo Analysis方法处理便得到最优的，并通过算例模拟讨论以上估计方法的优劣。

Using assumed explained variable condition, applying the maximum entropy principle and with the condition probability distribution complying with that of sample data and prior distribution, the author finally estimates an optimal conditional probability density of the LGD.

利用假定的解释变量条件，应用最大熵原理，并要求所估计的条件概率分布一致于样本数据和先验分布，最终对违约损失率估计出最佳的条件概率密度。

The conditional probability density functions of daily precipitation in 16 stations of Guangxi in Summer are estimated and then the probability distributions of maximum amount of daily precipitation in 1-20 days are recurrented by using daily amount of precipitation data set.

对广西16站用6、7月逐日降水量资料估计了日降水量的条件概率密度函数，并递推得1-20天内最大日降水量的概率分布。

This paper uses mixture density networks to forecast the time-varying conditional density values of financial time series, and puts forth a new numerical algorithm to calculate Expected Shortfall. The application in Hong Kong Hangseng index approves that Value-at-Risk at high probability levels is accurate, and that it also has good forecasting ability in fluctuation. MDNs can effectively describe the empirical distribution of returns and the volatility mechanism, and is a new model for measuring financial market risk.

基于混合密度网络模型估计金融时间序列的时变条件密度，提出采用数值模拟方法计算Expected Shortfall的新途径，对香港恒生指数的实证研究表明，VaR的预测精度在高端分位点较好，模型评估指标反映出预测效果良好，混合密度网络可以有效地描述收益的经验分布统计特征和波动规律，是一种有效的金融市场风险测量模型。

We have something to do in the new stage.

在这段崭新的时期中，我们有一些要做的。

The difference between tourism decision-making under uncertainty and risky tourism decision-making is indistinctive.

其中不确定性旅游决策和风险旅游决策的界线比较模糊，两者的区分是相对的。