Method of moments for estimating uncertainty distributions

By Xiaosheng Wang, Zixiong Peng. 2014

83 citations recorded by the source corpus.

Uncertainty theory is a branch of mathematics for modeling human uncertainty, and uncertain statistics is a methodology for collecting and interpreting expert’s experimental data by uncertainty theory. In order to estimate uncertainty distributions via experts’ experimental data, this paper will present a method of moments and design a numerical method to find moment estimate of unknown parameters.

Subfields: Artificial Intelligence, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/3805ac17fe78446dce3b19c75fa402501038e724