Sentence examples for data proportional to from inspiring English sources

This detects accelerations of a magnitude and frequency with raw acceleration data, proportional to the amount of HPA done by an individual.

The aim is to infer the transcription function τ(t) and possibly other rate constants of the system given time-series data proportional to one or both variables of the system.

The natural logarithm of the probability of the data, proportional to the posterior probability of K, showed no clear peak between 1 and 10 for K, and therefore it was difficult to determine the true number of populations (K).

To adjust for variations in health care utilization practices by age, we weighted age-group specific FoodNet Populage-group specificproportional to the age distribution oFoodNetns with sPopulationoSurvey for each pathogen by using the following age groups: <5, 5–15, 16–25, 26–45, 46–65, andata5 years.

When the stratum-specific sample sizes are small, the hierarchical Bayesian method is especially helpful because information for all centers is averaged with information for a particular center, and weight put on the center specific data proportional to the sample size in the center.

We show that the Hessian of the cost functional, which is usually defined as the square of the weighted L2 norm of the difference between the experimental data and the simulated data, is proportional to the measurement time and the number of receivers.

The posterior probabilities given the observed data are proportional to these joint probabilities; hence, for an individual with data X i and N i and a vector of known parameters θ, the Bayes classifier assigns the genotype with the greatest joint (and therefore posterior) probability.

The amount of distortion added to the pure data is proportional to the evaluated privacy risk.

The probability density distribution of the range data is proportional to the probability density function of the noise and to the slope of the rising edge of the laser echo pulse.

E(S) = αd2, E(D) = 0, for α > 0. where S denotes a source node, D denotes a destination node, E(S) is the energy usage of node S, and d is the distance from S to D. This formula states that the energy required to transmit a unit of data is proportional to the square of the distance to a destination, and there is no energy spent at the destination.

The model is given below: E(S) = αd4, E(D) = 0, for α > 0. where S denotes a source node, D denotes a destination node, E(S) is the energy usage of node S, and d is the distance from S to D. This formula states that the energy required to transmit a unit of data is proportional to the "power 4" of the distance to a destination, and there is no energy spent at the destination.