Sentence examples for models for over from inspiring English sources

Xiphophorus fishes are represented by 26 live-bearing species of tropical fish that express many attributes (e.g., viviparity, genetic and phenotypic variation, ecological adaptation, varied sexual developmental mechanisms, ability to produce fertile interspecies hybrids) that have made attractive research models for over 85 years.

Finally, despite the clinical use of breast cancer risk prediction models for over 20 years, systematic reviews of their performance have raised questions regarding their ability to consistently and accurately predict breast cancer risk across different populations, while the need for ongoing validation of the models as they are modified has been recognized.

An overview of the evolution of probability models for over-dispersion is given looking at their origins, motivation, first main contributions, important milestones and applications.

Even a looser system relying on a white-list for under-18s plus the current Cleanfeed model for over-18s will require some kind of authenticated adult login – finally a use for Burnham's beloved ID cards, eh? Don't think that's far-fetched either – an authenticated login for all internet users was mooted in the European Parliament 10 years ago, and keeps popping back.

Thus we could determine their crystallographic structure, their nitrogen content and their optical properties by simulating the reflectance curves with Drude's model for stoichiometric and sub-stoichiometric samples, and an extended Drude model for over-stoichiometric samples.

Sáez-Castillo and Conde-Sánchez (2013) studied a HP regression model for over-dispersed and under-dispersed count data.

The inclusion of dummies for the education-occupation mismatch in the home country along with covariates typically used in previous studies almost doubles the explanatory power of a probit model for over-education and almost quadruples that for under-education.

We tested each Poisson model for over-dispersion by comparing deviance with its degrees of freedom.

The relative risks between weekly HFMD cases and temperature and rainfall were estimated for the period 2001 2008 using time series Poisson regression models allowing for over-dispersion.

In addition, the Poisson models allowed for over-dispersion by scaling the standard errors using the Pearson statistic.

An ecological time-series study of daily mortality was conducted in three cities using Poisson generalized linear models allowing for over-dispersion.