Sentence examples for models for count from inspiring English sources

The models for count variables had a better performance when predicting diseased animals and also had a similar performance between them.

The course begins with a review of linear models for continuous responses and then considers logistic regression models for binary data and log-linear models for count data, including rates and contingency tables and hazard models for duration data.

Software defect prediction comprises two major procedures: (i) Design of appropriate software metrics to represent characteristic software system properties; and (ii) development of effective regression models for count data, allowing for accurate prediction of the number of software defects.

Additional file 1 Marginalized Mixture Models for Count Data from Multiple Source Populations.

Regression models for count and binary data that control for underreporting were developed and used, as underreporting is a major concern in crime self-reports.

In the last few years, research on the time series models for count data has become a popular topic in the literature.

Multilevel data analysis examples using R. Topics include: two-level nested data, growth curve modeling, generalized linear models for counts and categorical data, nonlinear models, three-level analyses.

As described in the Additional file 1 (Benecha et al. 2017), the marginalized models proposed in this article belong to a larger class of marginalized mixture models for counts.

With the aim of expanding the pool of two-part marginalized models for counts, special consideration is given to data generating mechanisms based on mixtures of two Poissons and a negative binomial with a Poisson distribution.

For cross-species gene expression comparisons, the G186A gene set was used as the reference gene models for counting reads.

An extensive literature describes models for counts [ 2- 8], and they have been commonly applied in economic analyses, traffic accidents, and health services utilization.