Sentence examples for Investigate the representativeness from inspiring English sources

In this paper, we investigate the representativeness of the synthetic Gabriel, geometric, population-weighted geographical threshold, and location-constrained Waxman graph models to the actual fibre backbone networks of six providers.

In this study, temporal stability analysis and spatial sampling techniques are used to investigate the representativeness of ground observations at satellite scale soil moisture in a semi-arid watershed for a long study period (March 1 , 2002 to September 13 , 2005

There are insufficient supporting data to investigate the representativeness of the samples at this time, so we cannot specify the impact of potential response bias.

There are insufficient supporting data to investigate the representativeness of the samples at this time, so we cannot estimate the impact of potential response bias.

To investigate the representativeness of the NTR triplet sample, we compared our sample with the Dutch triplet population regarding parity, BW, GA and age of the triplet mother when giving birth.

A chi-square test was used to investigate the representativeness of the GP practices, i.e. the differences between the distribution of practice types within the random sample and within the group of GP practices that returned the questionnaire.

Due to the fact that there is no published data on the socio-demographic characteristics of pregnant women in the surveyed area, we are unable to carry out statistical tests on investigating the representativeness of our sample.

Such information would have been helpful for investigating the representativeness of the sample in relation to national data.

This paper investigates the representativeness of an initial cohort to determine if people undertaking risky behaviours were less likely to participate in a major biomedical cohort study and to study the direction and magnitude of any bias found.

We investigated the representativeness of these US-specific data and adjustments for breast cancer patients in the United Kingdom, with a view to ascertaining whether any differences in these parameters exist between the two countries, and if so whether they could potentially explain the overestimation of outcomes seen here.

In addition, we investigated the sample representativeness of each algorithm and we suggest a novel and simple methodology to identify an adequate calibration set size based only on the vis NIR data (i.e. without prior knowledge of the response variables).