Sentence examples for of better precision from inspiring English sources

Other remote sensing data sources with higher resolution may produce more accurate models and estimates of better precision.

The reduction in thermal injury was a result of better precision with ablation to the intended target depths, and imparting minimal thermal injury to uninvolved skin.

The hearing threshold of each stimulus was first determined in steps of 5 dB SPL until the first estimated threshold was found; thereafter, the threshold measurement was repeated with step sizes of 2 dB SPL for better precision.

Depending on the EC classes, there are sometimes cases where the order of layers should be changed for better precision, reflecting the fact that the classification criteria differ in different classes.

It is shown that subset parameter oriented designs outperform their full set counterpart in terms of achieving better precision of the chemical kinetic parameters with the same number of experiments, or requiring fewer experiments to achieve the same level of precision.

Lidar data have the advantage of a better precision compared with the satellite DSMs but are rarely available before and after a rapid event.

The donut-shaped spray chamber provides higher sensitivities, lower limits of detection, better precision, and lower background levels than a double-pass spray chamber.

In search of a better precision under a wider scenario, we here performed a meta-analysis based on surveyed eligible studies to examine the association between ADH1B Arg47His polymorphism and ESCC risk in high-incidence Asian populations.

In the present experiment, the lower value of coefficient of variation (11.50) indicated better precision and reliability of the experiments (Box et al. 1978).

By the use of optimized conditions with the newer model of calibration cage (# 43), 2 ceiling-mounted X-ray tubes fired by 1 single button, no scanning of films, and the latest version of software, a better precision would be expected (Börlin et al. 2002, Mäkinen et al. 2004).

A coefficient of variance (C.V). of 1.14 % suggests better precision and reliability of the data obtained by performing the experiments while a non-significant lack of fit value (more than 0.05) implies validity of the quadratic model (Chowdhury and Saha 2012).