A novel uncertainty evaluation method based on the particle filter and beta distribution for data with unknown distribution
Zhenying Cheng,
Xu Chen,
Liying Liu
et al.
Abstract:Uncertainty evaluation for unknown distribution data is a key problem to be solved in uncertainty evaluation theory. To evaluate the measurement uncertainty of data with unknown distributions, a novel uncertainty evaluation method based on the particle filter (PF) and beta distribution is proposed in this paper. A beta distribution with wide adaptability was adopted as the distribution type of measurement results, the parameters of the beta distribution were taken as the parameters to be estimated, and a state… Show more
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