Sentence examples for uncertainty of variation from inspiring English sources

This generates the uncertainty of variation in the rates of speciality choices.

In this way, even if the absolute shortage is resolved, the uncertainty of variation in choices of speciality possibly causes shortages in specific speciality, and the speciality-level maldistribution.

In the present paper, structural topology optimization considering the uncertainty of boundary variations is considered via level set approach.

19 Most drug-discovery programs actively strive to develop compounds with sufficiently high solubility and permeability in order to reduce the uncertainty and risk of variation in exposure.

Incidence data obtained from registries indicate an incidence of approximately 12 15 new cases per million inhabitants per year in western countries (Goettsch et al, 2005; Nilsson et al, 2005); however, there remain uncertainties because of variations in diagnostic criteria before the NCI consensus reported in 2002 (Fletcher et al, 2002).

Statistical data analysis is used to quantify the uncertainties of capacity variation of corroded reinforcing bars based on the experimental investigation of tensile tests of 452 corroded reinforcements from different members.

The motivation for considering this model over the traditional Multiple Linear Regression (MLR) and other deterministic approaches is that both of these models fail to map stochastic behavior between response variable and explanatory variable in the system of uncertainty of travel time variation.

To reduce the uncertainty of potential interspecies variation, human exposure studies are preferred when available [ 1].

The uncertainty (U) coefficient of determination (R2) is the proportion of variation (uncertainty) in the dataset that is attributable to the logistic regression model.

We have improved our previous analysis by removing one major source of uncertainty (variation in the number of targets transferred intravenously) and using the natural pairing of measurements to make fuller use of the information contained in the data.

A very common problem in science and engineering is the determination of the effects of uncertainty or variation in parameters and data on the output of a deterministic nonlinear operator.