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Mathematical Problems in Engineering
Volume 2015 (2015), Article ID 958154, 9 pages
Research Article

An Efficient Approximation Method for Calculating Confidence Level of Negative Survey

School of Computer Science, China University of Geosciences, Wuhan, China

Received 27 April 2015; Revised 23 July 2015; Accepted 2 September 2015

Academic Editor: Ofer Hadar

Copyright © 2015 Ran Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.