Sentence examples for transformation probability from inspiring English sources

Exact(1)

Based on the assumption that the transformation probability of a tetragonal particle was modeled according to the Weibull statistics, the mean field approach was adopted to consider the interaction of particles, and then to derive a relation between the volume fraction of transformed particles and the external field for a given material.

Similar(59)

In addition, knowledge of favored developmental outcomes might be incorporated as transformation probabilities into the tree-building process itself.

Following transformation, the probability that NAC would be administered: The probability that the serum paracetamol concentration is greater than the value on the nomogram was the primary measure in the study but is considered to be a surrogate marker of the probability that NAC would have been administered.

By using FSG method to execute the mutual transformation of probability function between time-domain and frequency-domain, the quantitative analysis for the dynamic process of pass rate (probability) between node couple O-D (origin node and destination) can be obtained directly, and continuous probability distribution and discrete probability distribution can be handled.

Here error in the replacement of the nonlinear drift field by a linearized one is corrected through the Radon-Nikodym derivative following a Girsanov transformation of probability measures.

Considering the derivative operation as a random process transformation, the probability distribution function (PDF) of a noise gradient can be represented as [56, 57]: (18) (19).

Applying a transformation of probability measures, controls are introduced in the system of Itô stochastic differential equations such that the sample trajectories can be influenced in a predetermined way.

Changes in several parameters, such as the number of visits per year specifically, by applying only 2 visits per year (i.e. every 6 months instead of 3 to the moderate group in histopathology group), relative risk of malignant transformation and probability of developing cancer from mild dysplasia, were found to have meaningful impact on the model outcome.

By a logit transformation, the probability induced by MODEL I is expressed as P = exp (0.856 + 0.205 × n ) 1 + exp (0.856 + 0.205 × n ) where n is the number of risk alleles.

The strategy involves application of a three-state beta-mixture model to assign probes to methylation states, subsequent transformation of probabilities into quantiles and finally a methylation-dependent dilation transformation to preserve the monotonicity and continuity of the data.

However, statistical tests that compare the differences in survival probabilities directly can be statistically significant when tests that compare differences in log survival odds are not, due to nonlinearity in the logistic transformation between probabilities and natural log of survival odds (Mendenhall and Sincich 2003).

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