Sentence examples for lack of precise data from inspiring English sources

The large uncertainty seen in these models reflects both a lack of precise data on the objectives of protected area management and on effectiveness, and a lower number of sites with the most restrictive management.

The difference between experimental and computational results may be attributed to the lack of precise data on the airflow rates and the unaccounted heat transfer rates through the door gaskets and the compressor.

One reason for the lack of precise data about the number of mentally retarded inmates on death row is that the mentally retarded themselves struggle to hide their disability, even though in many cases it is the one thing that might save them from execution.

First, the lack of precise data required the use of growth simulations or other heuristics [22].

The substitution factor for material substitution of SFMa = 1,50 tC/tC reflects wood usage in Germany; it was not possible to determine a region-specific substitution factor for NRW due to a lack of precise data on material flow and wood usage and a high degree of variability of those data due to the small market size.

Lack of precise data from immediate aftermath is seen as a remarkable weak point in disaster epidemiology (3– 5).

Labour MP Keith Vaz said a lack of precise information available about the screening was "shambolic".

Despite pervasive exurban development in the United States (US) over the last several decades, a lack of relatively precise data has hindered basic research, including classification of the types of emerging exurban settlement patterns.

Due to the lack of precise quantitative data, at least at present, this requirement is incompatible with approaches aiming at the molecular modeling of the whole chain of production, processing and repair of biological damages.

One of the challenges in computational modeling is the lack of precise experimental data for model components.

The lack of precise exposure data likely led to exposure measurement error and/or exposure misclassification in these epidemiology studies.