The conclusions compile progress, problems, and future research choices for modelling pesticide displacement in structured soils.
The different insights brought by different models also make the multiple-model methodology and hybrid modelling approaches desired choices for modelling and understanding the mRNA translation process.
Empirical models are, on the other hand, more numerically efficient and, therefore, for the present purpose, constitute a better choice for modeling this transient phenomenon.
Guess why using a monkey is a good choice for modeling surgery instead of, say, a fruit fly?
The seasonal model is the best choice for modeling spring precipitation, and the global model is the best choice for modeling seasonal precipitation changes in summer, autumn, and winter.
As noted in previous work, including Pater (2008) and Magri (2010), the perceptron learning algorithm is well-established in the Machine Learning & 64257 eld and is a natural choice for modeling human grammar acquisition.
The proportional hazard model is a common choice for modeling durations because it is a reasonable compromise between the Kaplan-Meier estimator (see below) and the possibly excessively structured parametric models (Greene 2003).
Figure 2d shows that the Weibull distribution function was the best choice for modeling winter precipitation changes (seasonal model) for 10 out of the 29 stations in the East River basin.
One finds that: (1) The Weibull distribution has been proved to be a better choice for modeling the background of multi-beam sonar image, by comparing with the log-normal and Rayleigh distributions.
Black Swiss mice have baseline higher level of activity than other strains and were felt to be 'a good choice for modeling several domains of mania' by Flaisher-Grinberg and Einat (2010), who investigated strain-specific mouse behavior.
In fact, this distribution is a popular choice for modeling over-dispersion in various statistical methods (e.g. regression (Hilbe 2008)) and is well studied with statistical computational ability in many softwares (e.g. SAS, R, etc).
