Zobrazeno 1 - 10
of 757
pro vyhledávání: '"Posterior predictive distribution"'
Autor:
Hussein Amjad, Kadhem Safaa K.
Publikováno v:
Open Engineering, Vol 12, Iss 1, Pp 204-214 (2022)
This study investigates the spatial heterogeneity in the maximum monthly rainfall amounts reported by stations in Ireland from January 2018 to December 2020. The heterogeneity is modeled by the Bayesian normal mixture model with different ranks. The
Externí odkaz:
https://doaj.org/article/bb6609334d644fc4a433d35103acc11a
Autor:
Inchausti, Pablo, author
Publikováno v:
Statistical Modeling With R : a dual frequentist and Bayesian approach for life scientists, 2022, ill.
Externí odkaz:
https://doi.org/10.1093/oso/9780192859013.003.0007
Autor:
Fatimah Alshahrani, Ibrahim M. Almanjahie, Majid Khan, Syed M. Anwar, Zahid Rasheed, Ammara N. Cheema
Publikováno v:
Mathematics, Vol 11, Iss 5, p 1126 (2023)
The quality characteristic(s) are assumed to follow the normal distribution in many control chart constructions, although this assumption may not hold in some instances. This study proposes the Bayesian-I and Bayesian-II Shewhart-type control charts
Externí odkaz:
https://doaj.org/article/31f74759dad941f1b5e3ee4d94790893
Akademický článek
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Autor:
Agustín G. Nogales
Publikováno v:
Mathematics, Vol 10, Iss 8, p 1213 (2022)
In this paper, several related estimation problems are addressed from a Bayesian point of view, and optimal estimators are obtained for each of them when some natural loss functions are considered. The problems considered are the estimation of a regr
Externí odkaz:
https://doaj.org/article/46c5c0e8a2c149e89ecdff3fe0044df9
Akademický článek
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Autor:
Tomoyoshi Hatayama, Seiichi Yasui
Publikováno v:
Contemporary Clinical Trials Communications, Vol 19, Iss , Pp 100566- (2020)
Background: Central monitoring (CM), in which data across all clinical sites are monitored, has an important role in risk-based monitoring. Several statistical methods have been proposed to compare patient outcomes among the sites for detecting atypi
Externí odkaz:
https://doaj.org/article/d912a33525344efab0500ef4860b0564
Autor:
Agustín G. Nogales
Publikováno v:
Mathematics, Vol 10, Iss 4, p 636 (2022)
Under mild conditions, strong consistency of the Bayes estimator of the density is proved. Moreover, the Bayes risk (for some common loss functions) of the Bayes estimator of the density (i.e., the posterior predictive density) goes to zero as the sa
Externí odkaz:
https://doaj.org/article/6c532ec3e3854f92b50d87fb0a6c8e9a
Autor:
Pardoe, Iain, Cook, R. Dennis
Publikováno v:
The American Statistician, 2002 Nov 01. 56(4), 263-272.
Externí odkaz:
https://www.jstor.org/stable/3087346
Publikováno v:
Journal of the American Statistical Association, 2002 Jun 01. 97(458), 420-431.
Externí odkaz:
https://www.jstor.org/stable/3085655