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Furthermore, the metabases permitted the identification of predictive models with features from different sources, and compare such compound models with single-source models.
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The power series class can be used to construct many compounding models with discrete distributions: Poisson, logarithmic, geometric, binomial and negative-binomial.
The purpose of providing a variety of G-classes is to test flexibility of the proposed compound models to cope with the data available in complex situations.
Compound track models with the tuned rail absorber are developed for investigation of the performance of the absorber on vibration reduction.
Working with compounds, models and predictions: A Model is tightly coupled with the Prediction that represents its training run.
Yuen et al. [2] introduced the bivariate compound binomial model to approximate the finite-time survival probability of the bivariate compound Poisson model with common shock.
In this paper, we consider a compound binomial model with delayed claims.
Albrecher et al. [12] study the expected discounted dividends in the compound Poisson model with randomized dividend decision times.
Further analysis using compound mutant mice models with either HR or NHEJ deficiency may assist in elucidating the role of cohesins in this context.
"Some of the best minds in psychiatry had seriously studied these compounds in therapeutic models, with government funding," Ross said.
These compounds were modeled with isotropic J-couplings that vary between −11.1 and −25.8 K.
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