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probability distribution function

Translation of "probability distribution function" in Chinese

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概率分布函数

Standard rational expectations hypothesis assumes that "people know ahead of time the probability distribution function of exogenous shocks."

在一般的合理预期假说中，假设"人们事先知道外源性冲击的概率分布函数 "。

However, there is no well-established way of estimating a single probability distribution function from individual results taking account of the different assumptions in each study.

然而，没有成熟的方式用于估算单一结果的单个概率分布函数，同时还要考虑每项研究的不同假设。

is the cumulative probability distribution function for the normal distribution.

其中 Φ 是正态分布的累积概率分布函数。

The authors based their work on the hypothesis of learning which states that "people look at the time series of previous instances (samples) of exogenous shocks and estimate the probability distribution function of shocks using the same methods as econometricians do based on the time series."

进而论文作者们假设人们从经验中学习， "观察外源性冲击迄今的实现值（样本）的时序，使用与计量经济学家同样的方法，从这个时序推算冲击的概率分布函数" 。

The authors' hypothesis is that "people do not know in advance the true probability distribution function of exogenous shocks." Although this loosens the rational expectations hypothesis, it is a very realistic hypothesis.

论文作者们假设"人们不知道外源性冲击概率分布函数的真实状况 "，这样就缓和了合理预期假说，但可以说是非常现实的假说。

In a model where the probability distribution function is revised based on such learning, a permanent mark is left in the probability distribution function where such experience is presumed.

在通过这样的学习不断更新概率分布函数的模型中，一次经验推算的概率分布函数会留下永久性的痕迹。

Based on this hypothesis, even if a financial crisis arises, it is a shock that occurs based on a known probability distribution function, so the expectations (shock probability distribution function) held by people after the crisis dissipates will be exactly the same as that before the crisis.

根据这一假设，即使发生金融危机，也是从已知概率分布函数发生的冲击，所以危机结束后，人们的预期（冲击的概率分布函数）与危机前并无二致。

An approximation to bi-normal probability distribution function in reliability analysis of structural system

结构体系可靠度分析中二维标准正态分布函数的近似计算

This technique forms an image of the estimate which is created by plotting the frequency of numerous samples on a graph and connecting these points in a smooth curve resembling the pattern of a probability distribution function.

这种推算方法大致是把许多样本的频度标在图上，用平滑的曲线连接各点，得出概率分布函数的近似形状。