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机构地区:[1]Faculty of Science,Beijing University of Technology,Beijing 100124,China
出 处:《Journal of Systems Science & Complexity》2023年第3期1285-1301,共17页系统科学与复杂性学报(英文版)
摘 要:In this study,the authors proposed upper tolerance limits for the gamma mixture distribution based on generalized fiducial inference,and an MCMC simulation is performed to sample from the generalized fiducial distributions.The simulation results and a real hydrological data example show that the proposed tolerance limits are more efficient.
关 键 词:Gamma mixture distribution generalized fiducial inference incomplete data latent variable Markov chain Monte Carlo
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