Sentence examples for variance or error from inspiring English sources

The presented methodology for the summation of errors, besides its simplicity, has an additional advantage compared with the method of the summation of variance or error vectors separately in regard to each axis of the adopted coordinate system, because it takes into account the nature of the relationships between variables (covariance).

Knowing the instrument's reliability provides information about the variance or error associated with the person's true score.

Predictions are made as a function of the spatial autocorrelation of the data, and allow for an estimation of the prediction variance or error in interpolated exposures.

The sampling variance or error in the measurement of population abundance, which generally scales directly with μ ¯, would by itself produce a power-law slope of less than 2. This problem however is not important in data sets where the sample is large and thus sampling variance small.

The relation of a measurement to the object being measured can be represented as: σ O = σ T + σ E, where σ O = variance in the observed measurement of the target, σ T = variance in the true value of the target, and σ E = random variance, or error.

We did not estimate separate model parameters for process variance or observation error because we represented uncertainty using binomial distributions.

The variance or standard error of D was obtained by bootstrap whenever required.

In addition to estimating such population parameters (e.g., proportions, means), it is important to estimate the precision of the estimate, which is usually expressed in terms of its variance or standard error.

The first two types of markers are assessed based on sensitivity and specificity in most cases, while prognostic and monitoring markers are estimated based on the HR and its variance or standard error (SE) because they are time-to-event markers.

This comes about because, to estimate the reliability, we use both sets of observations to estimate the average score for each individual, then calculate the variance due to differences between subjects (true variance) equal to 1.11, and the residual or error variance, equal to 0.467.

Random variation of the actual ambient temperature about the set point value will inflate the variance or mean squared error but will not bias the estimates.