The eigenstate thermalization hypothesis states, that if the eigenenergy expectation values of an observable vary smoothly in the energy window defined by the (and the off-diagonal, are small), the system relaxes into a state for which the observable can be described with a micro-canonical ensemble [1, 2].
Another approach is to let the set of definite observables vary with the state; this is the approach taken by various modal interpretations.
No two gamma-ray burst light curves are identical, with large variation observed in almost every property: the duration of observable emission can vary from milliseconds to tens of minutes, there can be a single peak or several individual subpulses, and individual peaks can be symmetric or with fast brightening and very slow fading.
It was found that the required sample sizes and observable effect sizes varied considerably between different TWI maps and for different ROIs.
In practice, most analysts use econometric methods to control for an array of observable characteristics that vary across education levels, such as parental background and labor market experience.
If the proportion of the population that is observable does not vary among surveys, the DO method can be used to monitor trends.
We then analyze predictions at the individual level, in particular how insurance demand varies with observable characteristics.
The variance component DI that leads to the observable FA values, then varies between 1 and 0.5.
It is worth remarking that all approaches to a generalized probability theory contain some mechanism for identifying outcomes of distinct measurements or values of distinct observables, though this mechanism varies from author to author.
Also as one expected, when the washout values, D W X, varied within observable limits between species, the temporal behaviour of the system of three species shows greater complexity and, especially when the flow rate through the chemostat, D, is greater than unity, species may die out before a steady state is reached.
