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主观概率

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The prior probability in accounting decision is usually determined by the subjective judgment of the accountant. It can be modified by using the Bayes's method in order to be close to fact.

在会计决策分析中所采用的先验概率通常由会计人员的主观判断来确定,使用贝叶斯方法能够对其进行修正,使之更加符合实际。

Qualitative analysis and forecasting methods are: experts predict, Delphi method, the subjective probability law.

定性分析预测方法主要有:专家预测法、德尔菲法、主观概率法等。

Savage's research on subjective probability and the foundation of statistics.

萨维奇研究主观概率和统计学基础。

Axiomatic developments of utility theory and subjective probability, and elements of Bayesian theory.

效用理论和主观概率的发展,贝叶斯理论基础。密歇根大学贝叶斯决策分析、贝叶斯推断。

At first,this paper introduces differences between Dempster-Shafer's evidence theory and Bayes' subjective probability theory and main definitions and algorithms on D-S evidence theory.

本文首先介绍了证据理论与贝叶斯主观概率理论对于解决不确定性问题的差异,证据理论的主要定义和算法。

Conventional remote sensing image classification methods are mostly based on Bayes' subjective probability theory.

传统的图像分类方法多数是基于贝叶斯主观概率理论的图像分类方法,由于其在解决不确定性问题上存在诸多缺陷,近年来,将数学的证据理论应用于遥感图像分类已成为新的发展趋势。

Subjective probability reflects the relative support for the focal hypotheses.

主观概率判断的结果是判断者对中心假设的相对支持的反映;3。

On the basis of structural reliability, a evaluating model for existing engineering structures is proposed, two methods to determine the important coefficient of the model are studied, that are a determining method based on subjective probability and another determining method of relative weight based on AHP.

文中提出了基于可靠度的在役工程结构可靠性评估模型,研究了其中重要性系数的两种确定方法,即基于主观概率的确定方法和基于层次分析法的相对权重的确定方法。

Topics covered include subjective notion of probability, Bayes' Theorem, prior and posterior distributions, and data analysis techniques for statistical models.

包括:概率的主观定义,贝叶斯理论,先验和后验分布,统计模型的数据分析技术。

Conventional remote sensing image classification methods are mostly based on Bayes' subjective probability theory.Because there are many defects,a new tendency is that the mathermatical theory of evidence has been applied to remote sensing image classification.

传统的图像分类方法多数是基于贝叶斯主观概率理论的图像分类方法,由于其在解决不确定性问题上存在诸多缺陷,近年来,将数学的证据理论应用于遥感图像分类已成为新的发展趋势。

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