By M Sahini, M Sahimi
This certain graduate textual content discusses these functions for which there are well-defined percolations, and the place direct comparability among the predeictions of versions and experimental facts is feasible.
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Extra resources for Applications Of Percolation Theory
6 that desirable or “good” estimators satisfy four © 2003 by CRC Press LLC important properties: unbiasedness, efﬁciency, consistency, and sufﬁciency. However, regardless of the properties an estimator satisﬁes, estimates will vary across samples and there is at least some probability that it will be different from the population parameter it is meant to estimate. Unlike the point estimators reviewed in the previous chapter, the focus here is on interval estimates. Interval estimates allow inferences to be drawn about a population by providing an interval, a lower and upper boundary, within which an unknown parameter will lie with a prespeciﬁed level of conﬁdence.
In this case the data are nominal because the expressions of interest for the n individuals simply indicate a preference. In essence, the objective of this test is to determine whether a difference in preference exists between the alternatives compared. Consider, for example, the case where drivers are asked to indicate their preference for receiving pre-trip travel time information via the Internet vs. receiving the information on their mobile phones. The purpose of the study is to determine whether drivers prefer one method over the other.
The purpose of the study is to determine whether drivers prefer one method over the other. Letting p indicate the proportion of the population of drivers favoring the Internet, the following hypotheses are to be tested H 0 : p ! 50 . If H 0 cannot be rejected, there is no evidence indicating a difference in preference for the two methods of delivering pre-trip information. However, if H 0 can be rejected, it can be concluded that driver preferences are different for the two methods. In that case, the method selected by the greater number of drivers can be considered the most preferred method.
Applications Of Percolation Theory by M Sahini, M Sahimi