To explain the methodology, we consider here two sequences of assimilation starting from two different, but very close analysis times t a and.
As illustrative examples of application of the proposed methodology, we consider several end-point optimization problems in batch chemical and biochemical reactors.
To illustrate the proposed methodology, we consider a transportation network that is comprised of freeway segments that might include merge, diverge, weaving, and bottleneck sections.
To illustrate the application of our model and methodology, we consider a bivariate data concerning the demand for health care in Australia.
As a case study for this methodology, we consider a robotic paint sprayer, in which we use Ariadne to study the effect of choosing different values of a parameter that represents a point of observation for the system.
As an example of the general methodology we consider an important emerging disease - Leishmaniasis - a vector borne disease widely distributed in tropical regions that is estimated to affect 12 million people in 88 countries.
Because no previous study has addressed the same issue using our methodology, we consider the present analyses as a first, hypothesis-generating study.
Again, we use a 5% critical threshold for rejecting the null hypothesis (this corresponds to rejection of H0 if |W| > 1.96) The final methodology we consider for estimating average proportion/percentage/rate differences in our two-sample design is the fractional logit regression model [ 8, 9].
Our methodology: we considered natural resemblance, acting chops and, admittedly, a certain comedic charm.
Our study generalizes and supersedes [2] both in methodology
