Sentence examples for based on mixture distributions from inspiring English sources

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In this study, we address this problem by introducing novel bivariate moment-closure methods based on mixture distributions.

As in many cases, pathogenic microorganisms contaminate the food material as clusters or group of individual cells; the effectiveness of sampling plans based on mixture distributions representing bacterial agglomeration was assessed.

However, if this assumption is not tenable, extensions based on mixture distributions (log-normal and binary) can be used and are also easily implementable in software [ 21].

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In addition, a closure approximation based on mixture distribution is developed in order to capture the behaviour of the stochastic SIS model around the threshold between persistence and extinction.

To calculate the FDR, we used the method based on mixture distribution described by Allison et al. [ 43].

When more general multimodality is present, methods based on mixtures of distributions, modelling the whole distribution of the data through a non-parametric density approximation, and modelling different data components or Markov chain methods seem promising approaches.

In this paper, we provide an advanced parametric fit, based on mixture of Weibull distributions, and compare it with the single Weibull distribution model obtained with the Maximum Likelihood Estimation (MLE) method.

Trees and forests can also be combined to represent higher-order interactions using models based on mixtures of distributions [ 15].

These include approaches based on mixtures of distributions, non-parametric density approximation, data components, model averaging and Markov chain methods.

Further research is needed to study the performance of approaches based on mixtures of distributions, model averaging and data components in small samples.

The approaches based on mixtures of distributions, data components or model averaging seem to add further flexibility in acknowledging difficulties in explicitly modelling the skewness in the data.

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