Sentence examples for function of distribution from inspiring English sources

The posterior probability density function of distribution of state vector and similarity between the candidate and reference observation of an object are used to define the valid measurement of the reliability to model updating during tracking.

However, some caution needs to be applied as the models tend to over predict presence which is a function of distribution patterns and of other variables operating in the landscape such as fire histories which were not included in the model due to limited availability of data.

Marketers know that the primary added-value function of distribution is convenience.

The function of distribution of RMSD for each loop size, defined as the probability to find a fragment with RMSD larger than a given value, allows us to calculate the expected p-value (Fig. 3 inset).

The zero-inflated version of a distribution D of a random variable Y∼ZID Π0, θ ), where ZID denotes a zero-inflated distribution, has a probability function of the form f ZID (y ) = Π 0 I [ y = 0 ] + (1 − Π 0 ) f D (y ; θ ), where f D (y| θ ) is the probability function of distribution D with parameters θ.

Bias was determined by the mean difference and 95% confidence intervals (CI) between SpO2 and SaO2, precision was determined by the standard deviation of the mean difference, and limits of agreement (mean difference ±1.96SD) was defined as a proportional function of distribution for differences between the 2 measurements.

Their concept is defined by transmutation maps that are functional composition of the cumulative distribution function of one distribution with the quantile function of another distribution.

The rapid development of computer and telecommunications technology has made many automation functions of distribution power systems technically possible and economically feasible.

Here, f(x) represents the frequency distribution function of beta distribution.

The prior score of gene i defined as y i = Φ−1 (1 − p i/2) and Φ is the Cumulative Distribution Function of normal distribution.

A parallel extension involves quantile functions instead of distribution functions.