amygdala
发表于 2025-3-25 03:42:35
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DNR215
发表于 2025-3-25 08:26:49
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鸽子
发表于 2025-3-25 14:13:22
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RAG
发表于 2025-3-25 19:31:52
Mixed-effects modelling of Kevlar fibre failure times through Bayesian non-parametrics,d by the non-parametric model, and is inferred from the data. Compared to previous results, we obtain narrower interval estimates of the quantiles of the predictive survival function. Other diagnostic plots, such as predictive tail probabilities and Bayesian residuals, show a good agreement between the model and the data.
SEMI
发表于 2025-3-25 20:20:24
Predictive densities and prediction limits based on predictive likelihoods,ome specific applications, these solution usually improve on those ones based on the plug-in procedure. However, the associated predictive densities and prediction limits do not correspond to the optimal frequentist solutions already described in the literature.
Expediency
发表于 2025-3-26 03:50:01
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Vsd168
发表于 2025-3-26 07:36:43
Mixed-effects modelling of Kevlar fibre failure times through Bayesian non-parametrics,spool, subject to different stress levels. We propose a semi-parametric modelling by letting the error distribution be a shape-scale mixture of Weibull densities, the mixing measure being a normalised generalised gamma measure. We obtain posterior estimates of the regression parameter and also of cr
angiography
发表于 2025-3-26 08:49:51
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Callus
发表于 2025-3-26 13:40:10
Exploitation, integration and statistical analysis of the Public Health Database and STEMI Archive Acute Myocardial Infarction”. The main goal of the Programme is the construction and statistical analysis of data coming from the integration of complex clinical and administrative databases concerning patients with Acute Coronary Syndromes treated in the Lombardia region. Clinical data sets arise f
净礼
发表于 2025-3-26 20:12:26
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