先验分布

So the research on non-parameter reliability estimate is changed to the estimating of parameter R in Binomial distribution.

在多层Bayes方法中，提出了R的多层先验分布的构造方法——增函数法，并给出了在无失效数据问题中的应用。

We present a bootstrap method for estimating the prior distributions of parameters and error in this paper.

为此，本文提出由 Bootstrap方法估计反演参数和模型误差的先验分布的方案。

In Chapter 5, we obtain the Bayes estimations of regression coefficient under the balanced loss posterior risk by the three kinds of experiential distributions about the parameters.

第5章就线性回归模型在平衡损失后验风险下，针对参数服从三种不同的先验分布，分别得到平衡损失下的Bayes估计。

Based on the fiducial inference, the author proposed the prior distribution of environmental factor.

基于信仰推断的理论，得出环境因子的先验分布，进而对环境因子进行Bayes估计。

According to its statistical structure of likelihood function, constructed their Bayesian estimation under the normal-Gamma conjugate prior distribution.

首先，从最简单的时间序列AR模型入手，分析了时间序列AR模型的统计结构及其条件似然函数，根据似然函数构造了模型参数的共轭先验分布。

Based on the Inclan research,the paper improves the prior distribution of variance parameter and the solution of maximum likelihood estimate for high efficiency in calculation.

本文在Inclan研究工作的基础上，改进了方差参数的先验分布和求解方法，利用变点解的一致性构造了一个快速算法，并以公共卫生突发事件SARS为例展示了新算法的高效率和准确性，为检测突发事件提供了一种实用有效的新技术。

Further more, based on the analysis of Bayesian AR model and MA model , we analyzed the Bayesian ARMA model and its mathematical structure. Mainly analyzed the Bayesian ARMA(1,1) model, and constructed the model condition likelihood function and the parameters posterior distribution.

同时，以时间序列AR模型及MA模型的贝叶斯分析为基础进行了时间序列ARMA模型的贝叶斯分析，从分析ARMA模型的数学结构开始，重点进行了ARMA(1，1)模型的贝叶斯分析；构建了模型的条件似然函数和参数的先验分布，推导其参数的条件后验密度和边缘后验密度；并借用一组SAS软件模拟的ARMA(1，1)序列，通过WinBUGS进行仿真分析。

The type and parameters of the prior data distribution should be known in Bayesian method.

在贝叶斯处理中，必须确定先验分布的类型和分布参数。

A new proposal distribution, which integrates the motion information of the current frame with the prior distribution, is developed.

该方法利用系统的状态转移密度分布，结合目标当前时刻的运动信息共同决定目标的先验分布。

Second, we obtain the bayes estimators of the loss function and risk function based on the conjugate prior distribution for ...

其次在共轭先验分布下给出了Weibull分布参数估计的损失函数和风险函数的贝叶斯估计，并讨论了它们的保守性和合理性。

Breath, muscle contraction of the buttocks; arch body, as far as possible to hold his head, right leg straight towards the ceiling (peg-leg knee in order to avoid muscle tension).

呼气，收缩臀部肌肉；拱起身体，尽量抬起头来，右腿伸直朝向天花板（膝微屈，以避免肌肉紧张）。

The cost of moving grain food products was unchanged from May, but year over year are up 8%.

粮食产品的运输费用与5月份相比没有变化，但却比去年同期高8％。