Sentences with phrase «of observable variables»

Regarding «reverse engineering» it seems we have a number of observable variables for say the most recent 30 year window, including the «plateau».

In quantum physics, the Heisenberg uncertainty principle states that one can not assign, with full precision, values for certain pairs of observable variables, including the position and momentum, of a single particle at the same time even in theory.

To achieve that, it can be helpful to identify an empirical relationship between the inter-model spread of an observable variable (hereafter named A) and the inter-model responses B to a given radiative perturbation.

Not exact matches

For instance, the same second - order differential equation is applicable to the vibratory oscillations of a pendulum, an electric circuit, and a violin string, but neither the observable variables nor the theoretical concepts have anything else in common.

In each case the model aided the formulation of the equations of the theory and also suggested rules of correspondence between certain theoretical terms and observable variables.

We have in recent years witnessed a number of new theoretical schemes — or attempts to revive old schemes in which collective, behavioral, observable variables predominate: ecological theories, economistic models, market metaphors, notions of moral order and moral economy, and cybernetic and behaviorist approaches, to name a few.

In summary, Hispanic award probability differentials were explained by variables added in Models 4 and 5, but none of the observable characteristics in Models 1 to 5 fully explained the differential for Asians or blacks.

Since we used statistical models that included many observable school -, teacher -, and class - level variables — such as school and class size, teachers» levels of education and experience, and schools» demographic makeup — it is clear that the things that make schools and teachers effective defy easy measurement.

The observable signs of intervertebral disk disease can be quite variable.

So actually, a direct test of (34) is to go where condensation occurs and calculate the observable variables in the equation to see if they match (we did several such examples).

a direct test of (34) is to go where condensation occurs and calculate the observable variables in the equation to see if they match (we did several such examples).

The discussion there is based on 1 - dimensitonal radiative transfer without explicit expression of scattering, however, and the numbers shown there can not be directly translated to variables observable in the real world.

And, through a transformation of state variables, you can reduce the expansion to a smaller set of ODEs, with a nonlinear relationship for the observable, with well separated resonant frequencies in the model.

If the observable outcome (temperature increase, independent variable) is the result of a) manmade forcings plus b) non manmade forcings; and if admittedly non manmade forcings are not well enough to well embody them in the models (scenario or what if sensitivity models not forecasting models), the answer (by definition) it's not possible to put a number on the probability / likelihood of manmade causes.

Given an ensemble of models from which an observable variable takes the mean value m 1 = 0 (without loss of generality) and standard deviation s 1, and an observation of this variable which takes the value m 2 with associated uncertainty s 2, the observation is initially at a normalised distance m 2 / s 1 from the ensemble mean.

On the other hand, as we have seen, the testing of a theory involves the identification of its variables with some «true» observable variables.