Sentence examples for component distributions from inspiring English sources

3) Add the capability to use both Gaussian and Binomial distributions to represent the component distributions.

We also extend our results to the case when the analyst does not know the true number of component distributions, and to models with discrete outcomes.

Student-t component distributions are taken to capture the heavy tails typically encountered in such financial data.

For bivariate independent component distributions, the asymptotic bias of the correlation coefficient estimators based on principal component variances is derived.

We first show that when the number J of component distributions is known a priori, the family of mixture models compatible with the data is a subset of a J(J – 1 -dimensional space.

We consider partial identification of finite mixture models in the presence of an observable source of variation in the mixture weights that leaves component distributions unchanged, as is the case in large classes of econometric models.

This system describes the mass conservation and the separation property of a cascade, which provides the hydraulic state and the component distributions in the cascade.

Here we describe a single step approach based on the concept of finite mixture distributions where the component distributions of the mixture are supposed bivariate normal.

The volume-based PBRD is fitted with a multimodal number-based PBRD consisting of two component distributions: one representing the macroporosity and another one representing the microporosity.

The results show that the EM algorithm estimate does provide good asymptotic properties except for some situations in which the population means are quite close to each other and larger differences in the variances of the component distributions occur.

In order to estimate the unknown parameters of the conditional distribution, generally composed of an arbitrary but finite number of lognormal or Weibull component distributions, we introduced an algorithm based on neural network modelling.