Sentence examples for preference of data from inspiring English sources

The preference of data set from IMF [11] over AfDB [10] is made due to advantages listed below in (1) and (2) 1. IMF [11] a data have best coverage (48 countries) than the AfDB [10] data (44 countries).   2.

Furthermore, the stability of the rank, the influence of technical errors on data analysis, and the preference of data analysis methods for selecting highly abundant metabolites were affected by the data pretreatment method used prior to data analysis.

The agent also represents the citizens' preferences of data sharing and can make automated decisions on behalf of the citizen based on these preferences.

To evaluate the validity, reliability, responsiveness, and mode preference of electronic data capture (EDC) using the Western Ontario and McMaster (WOMAC) numerical rating scale (NRS) 3.1 Osteoarthritis (OA) Index on Motorola V3 mobile phones.

Hence, it turns out that preferences of the data scientists and their education might drive the analytics part instead of the problem at hand, leading to insufficient knowledge discovery.

Irrespectively of preferences of how data best be centered, the proposed popLowess procedure will alleviate the normalization problems related to mixed copy number populations.

Therefore, the collection of preference data that can measure preferences and differences in preferences in a valid way using DCEs and DCEBWS is of decisive importance for health economics and health services research.

These include hardened beliefs, personal style preferences, selective reception of data, decision-making and thinking flaws, and bounded rationality.

Giving more credence to the preference of the random data stratification over the fixed version is the visual comparison of the results of the search for the optimal number of hidden neurons for the prediction of C f (Figs. 5 and 7) and M res (Figs. 9 and 11).

MONANOVA is one type of conjoint analysis used for measuring the part worth value of factors to the total evaluation, exclusively using preference ranking data of a group of commercial products designed by presorted factors.

An analysis of preference data from a listening test reveals a relevant set of acoustic features for personalized noise reduction.