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Author:

Jiao, Junjun (Jiao, Junjun.) | Cheng, Weihu (Cheng, Weihu.) (Scholars:程维虎)

Indexed by:

EI Scopus SCIE

Abstract:

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.

Keyword:

Markov chain Monte Carlo incomplete data latent variable generalized fiducial inference Gamma mixture distribution

Author Community:

  • [ 1 ] [Jiao, Junjun]Beijing Univ Technol, Fac Sci, Beijing 100124, Peoples R China
  • [ 2 ] [Cheng, Weihu]Beijing Univ Technol, Fac Sci, Beijing 100124, Peoples R China

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Source :

JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY

ISSN: 1009-6124

Year: 2023

Issue: 3

Volume: 36

Page: 1285-1301

2 . 1 0 0

JCR@2022

ESI Discipline: MATHEMATICS;

ESI HC Threshold:9

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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