Sentence examples for reliability of estimation from inspiring English sources

"reliability of estimation" is grammatically correct and can be used in written English.
It refers to the level of accuracy or trustworthiness of a measurement or prediction. It can be used in a variety of contexts, such as in scientific research, data analysis, or market forecasting. Example: "The researcher's findings were questioned due to the low reliability of estimation methods used in the study."

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Additionally, to attain proper accuracy and reliability of estimation in a desired location the inputs should be selected based upon the fact that how much they can provide strong correlation with diffuse solar radiation.

This paper suggests a QTO process and a QTO prototype system within the building frame of Open BIM to improve the low reliability of estimation in the early design stage.

In this study, the self-organizing feature map (SOM) and radial basis function (RBF) neural network are combined to produce a self-organizing radial basis network (SORBN) that takes the advantages of both methods for strengthening the power of presentation and reliability of estimation.

We therefore performed stress measurements in eight azimuths to increase the reliability of estimation (Fig. 11 e)).

The reliability of estimation may improve if the data (if the quantity allows) are pre-sorted by measurement methods and measurement-method-specific PTFs are developed.

In order to verify the reliability of estimation, we further analyzed the relative expression of SCD1, which was evidently (p < 0.05, p < 0.01) down-regulated in MJT and HJT groups with 74%, 96% reduction respectively.

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However, the reliability of estimations is verified with the limited degrees of freedom.

The reliability of estimations of catches of pelagic longline fisheries is especially worrying in the case of non-target species such as the sailfish (Istiophorus platypterus) and spearfish (Tetrapturus pfluegeri), because they are often recorded aggregated in onboard maps.

The model adaptation techniques fail to perform in constantly changing environments where little or no adaptation data is available and hybrid methods attempt to preprocess speech signals and depend on reliability of estimations of those segments.

From the comparison of results of the model test and the estimation, the reliability of this estimation technique has been discussed.

The possibility distributions also reflect the reliability of the estimation of each flux: the estimation of v6 is less reliable than the one of v1 or v2, since it has a wide range of highly possible values.

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