先验的

The 'permanent truth' is close to Russell's 'apriority' of induction. However, in my opinion, this kind of permanent truth or apriority doesn't have any important sense since the principle of anti-induction, i.e., ' if a t 1 — b t b ,……, a t n — b t n then probably A ?

这种"永真性"与罗素关于归纳原则的"先验性"十分接近，然而，在笔者看来，这样的永真性和先验性没有多大意义，因为反归纳原则即如果 a t 1 — b t b ，……， a t n — b t n 则大概 A ？

Methods According to the Bayesian conjugate prior distribution principle, the estimating methods of prior parameters of the conjugate beta distribution Be of the binomial distribution was given by writing the SAS programs.

根据贝叶斯共轭先验分布原理，对二项分布的共轭贝塔分布中的α、β两个先验参数的确定方法进行分析比较，编写SAS程序确定先验参数。

But in another way, transcendental externalism involves less substantive commitments, for a transcendental externalist view needn't be, as Davidson's isn't, committed to any particular story about the contents of any particular thoughts.

但是，先验外在论包含更少的实体承诺，因为一个先验外在论者无需承诺任何特定思的特定思内容。

Based on the concept of the prior distribution, the Gamma distribution was introduced as the prior models of the unknown model parameters.

基于共轭先验理论，提出以伽马分布作为未知参数的先验模型，准确估计参数。

Through this model, which could make full use of the given prior information as the constraints of maximum likelihood estimation and based on Lagrange function, the calculation problem of fault prior probabilities was transformed to non-constrained optimization problem.

该模型以相关的先验信息作为最大概率估计的约束条件，并通过拉格朗日函数，将故障先验概率估算问题转化成无约束优化问题。

By using the theory of the likelihood ratio test, a method for choosing prior distributions and classes of prior distribution is given.

利用似然比检验原理，给出了选取先验分布及先验分布族的似然比检验方法。

Firstly, by using the theory of the likelihood ratio test, a method of likelihood ratio test for choosing prior distributions and classes of prior distribution is given.

主要内容如下：首先，利用似然比检验原理给出了选取先验分布及先验分布族的似然比检验方法。

Then, we choose suitable classes of mean θ for normal distribution.

文中以正态分布为例，给出了均值参数θ的先验分布及先验分布族的选择方法。

In the paper, first, a two-components mixture prior parametric family for the in-control prior distribution is proposed in a manufacturing process.

在此篇论文中，首先对在制程控制下的先验分配提出一个由两个成份组成的混合先验有母数族。

The concrete example indicates that the priors and classes chosen by this method are robust.

实例表明，由该方法得到的先验分布及先验分布族具有较好的稳健性。

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。