Estimation of the stress-strength reliability for the inverse Weibull distribution under adaptive type-II progressive hybrid censoring. [PDF]
PLoS One, 2022 Alslman M, Helu A.
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Loss functions, utility functions and Bayesian sample size determination. [PDF]
, 2011 PhDThis thesis consists of two parts. The purpose of the first part of the research is to obtain Bayesian sample size determination (SSD) using loss or utility function with a linear cost function. A number of researchers have studied the Bayesian SSD
Islam, A F M Saiful +1 more
core
On the mass COVID-19 vaccination scheduling problem. [PDF]
Comput Oper Res, 2022 Zhang C, Li Y, Cao J, Wen X.
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Generalizing Information to the Evolution of Rational Belief. [PDF]
Entropy (Basel), 2020 Duersch JA, Catanach TA.
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Leveraging Bayesian and Classical Techniques for Survival Analysis Using the Weibull-Rayleigh Distribution [PDF]
This paper contributes to an extensive analysis of the Weibull-Rayleigh distribution (WRD), including Bayesian inference for randomly censored data. The WRD is a versatile model that fits various types of survival data, especially in situations including
Mohamed, Nagwa +2 more
core
Bayesian Estimation of Multicomponent Stress-Strength Model Using Progressively Censored Data from the Inverse Rayleigh Distribution. [PDF]
Entropy (Basel)Yılmaz A.
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The estimation of the Burr-XII parameters with middle-censored data. [PDF]
Springerplus, 2015 Abuzaid AH.
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Objective Priors for Invariant e-Values in the Presence of Nuisance Parameters. [PDF]
Entropy (Basel)Bortolato E, Ventura L.
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Variational Algorithms for Analyzing Noisy Multistate Diffusion Trajectories. [PDF]
Biophys J, 2018 Lindén M, Elf J.
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The R2D2 prior for generalized linear mixed models. [PDF]
Am StatYanchenko E, Bondell HD, Reich BJ.
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