In this work, we test several versions of this model using observations from a large wave tank experiment designed to model a storm hydrograph, and we develop a new method for acquiring the appropriate data with confidence intervals using stereo video techniques.
The defining characteristic of a scientific model is that it can be used to deduce verifiable statements about observable aspects of nature, which makes it possible to test and refine a model using new data from subsequent observations.
The model has been tested successfully using observations from a monitored green roof in Florida.
Miller, P. A., Laxon, S. W., Feltham, D. L. & Gresswell, J. Optimization of a sea ice model using basinwide observations of arctic sea ice thickness, extent, and velocity.
In this work, a probabilistic graphical model based approach is employed to learn the dependence by running a number of conditional independence tests using observation data.
We used a random sample of 25,000 observations to test the goodness-of-fit for our model using the Hosmer-Lemeshow test [ 27].
This allowed us to compare the 15 average SI values from our observations to 100 average SI values obtained from our null model using a t-test.
The techniques using observation, questioning, test, checklists, projective method, modeling of social situations, including emotions, are reviewed.
A model specification test was carried out for the OLS regression model using theRamsey RESET test.
The test is based on realized third moments, and uses observations over an increasing time span.
In observing ED episodes over an extended observation period and testing an expanded model, we affirmed previous findings about the relationship between age, health status and persistent use of the ED for severe conditions.
