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- W2387627501 abstract "The method with which to generate belief function of the probability distributed parameters of random variable is similar to the one for generating fiducial distribution. However,the fiducial distribution of the same distribution parameter shows differences by present method.The basic reason is to adopt different joint belief density function. Based on the relations between fiducial distribution of distributed parameters and probability density of sample observation values,the paper proposed the essential ideas and the maximum likelihood method and Bayesian method,and then established belief function of normal distributed parameters and fractiles. Based on a reliable theory,two methods are used to infer distributed parameters originated from the same joint belief density function,taking into account of the other distributed parameter's information.With the Bayesian method the same results with the interval estimation of classical statistics can be achieved,which is more reasonable than maximum likelihood method. Bayesian method is a basic method for generating belief function in general conditions." @default.
- W2387627501 created "2016-06-24" @default.
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- W2387627501 date "2010-01-01" @default.
- W2387627501 modified "2023-09-22" @default.
- W2387627501 title "New method for the generation of belief function" @default.
- W2387627501 hasPublicationYear "2010" @default.
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