Sentence examples for data distorted from inspiring English sources
However, some of the inverse parameters encountered some inaccuracy when the method was applied to synthetic data distorted by significant neighboring gravity effects/interferences.
However, some of the inverse parameters encountered some inaccuracy when the method was applied to residual data distorted, in terms of both magnitude and shape, by some significant neighboring gravity effects generated by nearby anomalous bodies.
The problem at hand is to perform high-resolution reconstruction of the power spatial spectrum pattern (SSP) of the wavefield scattered from the extended remotely sensed scene via space-time adaptive processing of finite recordings of the imaging radar/SAR data distorted in a stochastic uncertain measurement channel.
Multicollinearity for independent variables was assessed by using the variance inflation factor (VIF); no VIF was > 2. We performed several additional analyses to determine whether our approach and assumptions about missing data distorted our results.
The RAND Corporation, in a study commissioned by the Police Department that was released last year, concluded that the raw data "distorts the magnitude and, at times, the existence of racially biased policing".
In each of those instances, and in many others, Oz has been criticized by scientists for relying on flimsy or incomplete data, distorting the results, and wielding his vast influence in ways that threaten the health of anyone who watches the show.
NAEP data distort our perceptions of achievement.
Although scarce data distort the analysis with MPT models, this is not a disadvantage of the study.
Dr. Smith suspects that the prevalence data were distorted by data on diabetes in women that may not be as reliable as those involving men.
From history, in the 1980s and 1990s statistical offices didn't received appropriate attention as a source of data, even today the data is distorted due to the shift in data demand by donors.
Their selective, and in some cases factually incorrect, use of data distorts public perceptions.
