Sentence examples for model rate density from inspiring English sources

The following is a brief description of the EEPAS model rate density.

Precursory earthquake contributions to EEPAS model rate density in the target magnitude range 4.95 < m < 9.05, with parameters from Table 1.

We consider two empirical response models for the spike rate density: Poissonian and input-independent Gaussian, reading P P (f ∼ | I ) = (f (I ) · b ) f ∼ · b (f ∼ b ) ! · exp (− f (I ) b )   and P G (f ∼ | I ) = 1 2 π σ 2 · exp (− (f ∼ − f (I ) ) 2 2 · σ 2 ), respectively.

The model sums contributions to the rate density from past earthquakes based on predictive scaling relations derived from the precursory scale increase phenomenon.

Further calibration of the retrospective detectors' models for interpretation of track rate density may allow the pooling of studies that use glass-based retrospective radon detectors to determine historic residential radon exposures.

The information rate thus compares each model to a model of least information, with no temporal or spatial variation in the earthquake occurrence rate density, although any other baseline model could equally well have been used.

The model sums up contributions to the rate density from earthquakes in the past on the basis of predictive scaling relations that are derived from the precursory scale increase phenomenon (Rhoades and Evison, 2004).

In order to implement the EEPAS and PPE models for the Japan testing center, the continuous rate densities of these models are integrated over the latitude, longitude, magnitude and time limits of each cell to compute the expected number of earthquakes.

Preliminary comparisons of the models used to translate track rate densities to average long-term radon concentrations differ between the two studies.

We fit two constant-rate models (pure-birth, birth-death) and three variable-rate models (density dependent logistic, density dependent exponential, and Yule 2-rate) to the vector of branching times from the two focal clade phylogenies.

The t test compares the mean of 100 runs of the medium high-density model attrition rate with the mean attrition rate in the OPM EPA data-set, 2005 2014.