Sentence examples for the estimation measures from inspiring English sources

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After extracting the outlier information in the scene, the estimation measures original and predicted saliencies.

Similar(59)

The remaining columns show the accuracy of the estimations measured in terms of the maximum absolute value of the relative error in dB, and the average of the absolute value of the percentage error, for four SQNR ranges: (120,100) dB, (100,80) dB, (80,60) dB and  dB (see the expressions of the metrics at the bottom of the table).

The basic idea in SFA is first estimating the efficiency frontier and, based on this estimation, measuring the efficiency by calculating the relative distances from the actual data points to the frontier.

The bootstrap confidence interval estimation measures the uncertainty caused by the stochastic sampling process of metagenomic sequencing.

The estimation function measures the success probability related to each modality of the independent variable.

The assessment of levels of genetic variation within a species or population, including small or endangered populations, and the estimation of measures such as effective population size (e.g. through the application of coalescence models to estimate demographic variables).

The estimation of measures of health benefit was modelled using a decision tree or a Markov model, which was appropriate for the particular study question.

Fotheringham, J., Campbell, M. J., Fogarty, D. G., El Nahas, M. & Ellam, T. Estimated albumin excretion rate versus urine albumin creatinine ratio for the estimation of measured albumin excretion rate: derivation and validation of an estimated albumin excretion rate equation.

The experimental results show that our capacity estimation measure improves the watermark robustness and image quality in comparison with the most recent similar works.

Rather than propose a factor loading structure a priori, we selected items from the CSPCC Student End Survey that in our estimation measured or were in some way indicative of the larger constructs under investigation.

Predictions are required for assessing model performance through the estimation of various measures: for example, mean squared prediction error (MSPE), R measures, area under the receiver operating curve (AUROC) and goodness-of-fit measures (Hosmer and Lemeshow, 1989, Chapter 5).

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