Zobrazeno 1 - 10
of 805
pro vyhledávání: '"Markov chain Monte Carlo method."'
Publikováno v:
Symmetry, Vol 16, Iss 9, p 1240 (2024)
In this paper, we investigate the inferential procedures within both classical and Bayesian frameworks for the generalized logistic distribution under a random censoring model. For randomly censored data, our main goals were to develop maximum likeli
Externí odkaz:
https://doaj.org/article/7ae9d427e5d843b385cbabd0234d7b99
Autor:
Xiaomeng Wang, Yongli Cai
Publikováno v:
Infectious Disease Modelling, Vol 8, Iss 2, Pp 390-402 (2023)
In this paper, based on the statistical data, we investigate the effects of long-term exposure to ambient particulate air pollution on the transmission dynamics of tuberculosis (TB) in Jiangsu, China by studying the threshold dynamics of the TB epide
Externí odkaz:
https://doaj.org/article/4f6d1cc68dad4a3298bd64eb4378d28f
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Accurate prediction of ground surface settlements induced by shield construction is of great significance for ensuring the safety of shield construction. This paper proposes a ground surface settlement prediction method for shield tunneling based on
Externí odkaz:
https://doaj.org/article/f8dd4e9902734113b182bdce79ab8c14
Autor:
Abdullah M. Almarashi
Publikováno v:
Alexandria Engineering Journal, Vol 63, Iss , Pp 223-232 (2023)
The problem of testing the product units under stress higher than normal stress conditions is widely used in reliability analysis specially, in a high reliable products to saving time and cost which is known by accelerated life tests (ALTs) model. In
Externí odkaz:
https://doaj.org/article/0611140a58c14f309e13d9b8f8612451
Autor:
Altair Costa Cardoso, Camila Santana Dias, Carlos Henrique Rodrigues de Moura, Josiel Lobato Ferreira, Emerson Cardoso Rodrigues, Emanuel Negrão Macêdo, Diego Cardoso Estumano, Bruno Marques Viegas
Publikováno v:
Applied Sciences, Vol 14, Iss 1, p 109 (2023)
This research is focused on investigating the utilization of Bayesian methodologies, specifically the Markov Chain Monte Carlo method, as well as filter sampling by importance and sequential resampling. The objective is to estimate kinetic parameters
Externí odkaz:
https://doaj.org/article/01ba28c3e6644a159a78a5142c849236
Akademický článek
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Publikováno v:
地球与行星物理论评, Vol 53, Iss 2, Pp 159-171 (2022)
Based on statistical theory, the Bayesian inversion method adopts the posterior probability distribution to evaluate the model parameters under the constraints of prior information and observation data. Compared to deterministic inversion theory, Bay
Externí odkaz:
https://doaj.org/article/c0c4f49138b0427ab59bf636da4d22ec
Autor:
Mohamed G. M. Ghazal, Mustafa M. Hasaballah, Rashad M. EL-Sagheer, Oluwafemi Samson Balogun, Mahmoud E. Bakr
Publikováno v:
Symmetry, Vol 15, Iss 10, p 1884 (2023)
The joint censoring technique becomes crucial when the study’s aim is to assess the comparative advantages of products concerning their service times. In recent years, there has been a growing interest in progressive censoring as a means to reduce
Externí odkaz:
https://doaj.org/article/376346b739174b6da725b2a461b02a89
Autor:
Neriman Akdam
Publikováno v:
Symmetry, Vol 15, Iss 9, p 1754 (2023)
The aim of this study is to obtain the Bayes estimators and the maximum likelihood estimators (MLEs) for the unknown parameters of the Rayleigh–Weibull (RW) distribution based on progressive type-II censored samples. The approximate Bayes estimator
Externí odkaz:
https://doaj.org/article/b4cefcc0c4844bedbabe2846dbe4f704