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The spatial variability of soil shear wave velocity (Vs) significantly influences the results of site seismic response analysis. Based on the collected measured Vs values of silty clay in a certain sea area in China, this study divides the Vs data into ...
Guanlan Xu +4 more
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Analysis of Structural Differences and Asymmetry of Shocks Between the Czech Economy and the Euro Area [PDF]
The goal of this paper is to examine asymmetry of shocks and structural differences between the Czech economy and the euro area. For this purpose I use a New Keynesian DSGE model of two economies.
Martin Slanicay
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The alpha power Weibull distribution is a flexible generalization of the classical Weibull distribution that is capable of modeling a wide variety of data behaviors through its ability to accommodate multiple shapes of the hazard rate function.
Mazen Nassar, Refah Alotaibi
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Bayesian optimization of EWMA control charts: A case on process variance monitoring
Bayesian control charts (BCC) are gaining prominence as powerful statistical process control tools for analyzing manufacturing processes and managing process variability.
Tahir Abbas +3 more
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Exact Posterior distribution of risk ratio in the Kumaraswamy–Binomial model
In categorical data analysis, the $2\times 2$ contingency tables are commonly used to assess the association between groups and responses, this is achieved by using some measures of association, such as the contingency coefficient, odds ratio, risk ...
Andrade, Jose A. A., Rathie, Pushpa
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Introduction Longitudinal study designs are common in a lot of scientific researches, especially in medical, social and economic sciences. The reason is that longitudinal studies allow researchers to measure changes of each individual over time and often
Taban Baghfalaki
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Fully Bayesian Experimental Design for Pharmacokinetic Studies
Utility functions in Bayesian experimental design are usually based on the posterior distribution. When the posterior is found by simulation, it must be sampled from for each future dataset drawn from the prior predictive distribution.
Elizabeth G. Ryan +2 more
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Approximating Posterior Distributions by Mixtures
SUMMARY Kernel density estimation techniques are used to smooth simulated samples from importance sampling function approximations to posterior distributions, resulting in revised approximations that are mixtures of standard parametric forms, usually multivariate normal or T-distributions.
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On convergence of posterior distributions
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ghosal, Subhashis +2 more
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On the Asymptotic Behaviour of Posterior Distributions
Summary Let a random sample of size n be taken from a distribution having a density depending on a real parameter θ, and let θ have an absolutely continuous prior distribution with density π(θ). We give a rigorous proof that, under suitable regularity conditions, the posterior distribution of θ will, when n tends to infinity, be ...
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