An Efficient Approximation Method for Calculating Confidence Level of Negative Survey

Liu Ran; Peng Jinghui; Tang Shanyu

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An Efficient Approximation Method for Calculating Confidence Level of Negative Survey

机译：计算负调查置信度的一种有效近似方法

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The confidence level of negative survey is one of the key scientific problems. The present work uses generation function to analyse the confidence level and uses a greedy algorithm to calculate that, which is used to evaluate the dependable level of negative survey. However, the present method is of low efficiency and complex. This study focuses on an efficient approximation method for calculating the confidence level of negative survey. This approximation method based on central limit theorem and Bayesian method can get the results efficiently.

机译：否定调查的置信度是关键的科学问题之一。本工作使用生成函数来分析置信度，并使用贪心算法进行计算，以评估负面调查的可靠度。然而，本方法效率低并且复杂。本研究着重于一种有效的近似方法，用于计算负面调查的置信度。这种基于中心极限定理和贝叶斯方法的近似方法可以有效地得到结果。

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《Mathematical Problems in Engineering》 |2015年第18期|958154.1-958154.9|共9页
作者
Liu Ran; Peng Jinghui; Tang Shanyu;
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China Univ Geosci, Sch Comp Sci, Wuhan 430074, Peoples R China.;

China Univ Geosci, Sch Comp Sci, Wuhan 430074, Peoples R China.;

China Univ Geosci, Sch Comp Sci, Wuhan 430074, Peoples R China.;

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An Efficient Approximation Method for Calculating Confidence Level of Negative Survey

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