Sentence examples for model for counting from inspiring English sources
For example, to reproduce the functionality of the previous CDKAromaticity class: Here, the CDK model for counting donated electrons is used, along with the rings systems that were identified by the older algorithm in previous versions that was limited in the number of fused rings systems that were considered.
Somewhere in the perplexity of data gathering, the model for counting poor Americans changed from just looking at food and wage standards, to adding government benefits and household expenses.
For background, we use the Poisson distribution to approximate the background distribution of tag counts (10) The Poisson distribution is an appropriate model for counting processes that produce rare random events and thus can be applied here to describe the background tag count distribution.
For cross-species gene expression comparisons, the G186A gene set was used as the reference gene models for counting reads.
As models for counting processes only allow one event at a time, the number of prescription fillings was defined as the main outcome of interest.
The Poisson distribution is a popular model for count data.
We consider another bivariate time series model for count data to decide the relationship of the bivariate claim counts among the different periods.
It is therefore expected that the proposed MLFD with its interesting features and flexibility will be a useful addition as a model for count data.
with μ ij being the mean of the j th component distribution, is a popular finite mixture model for count data.
Based on this excavation inventory a specific regression model for count data was developed that permitted an area-wide prediction of the larva densities taking into account significant causal covariate effects and the spatial autocorrelation of the data.
Within a ZIP likelihood framework, Long et al. (2014) proposed marginalized zero-inflated Poisson (MZIP) regression, which specifies a two-part model for counts with a set of regression coefficients for the marginal mean and, to complete model specification, a second set of regression coefficients for the latent parameter defining membership in the 'excess-zero' class.
