Examples of using Statistical technique in English and their translations into French
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Colloquial
The methodological parts of the paper discuss concepts to be measured, statistical techniques, and thresholds for poverty.
STATISTICAL TECHNIQUES The Operator shall,
From the geospatial information perspective, statistical techniques are very important as a means to solve issues
Certainly statistical techniques can help overcome data problems,
2006 was probably attributable to advances in statistical techniques rather than to an increase in real terms.
Mann used advanced statistical techniques to find regional variations in a hemispherical climate reconstruction covering the past 600 years.
requires objective monitoring and tracking through time and across space, and appropriate statistical techniques for measuring its multifaceted dimensions.
The ICSC secretariat attributed this imbalance in part to a combination of the statistical techniques used to compute margin measurements
sampling theory, and statistical techniques.
reliability of data sources and statistical techniques.
the applicability of the data to the statistical techniques under consideration.
Research on the development of statistical techniques is undertaken to produce high quality homogenised historical climate data,
Provided that the assessment embodies sufficiently robust theory, that the assessment design affords good coverage of the intended content domain and that the statistical techniques employed to summarize proficiency compensate for the various sources of“missing” data then assessments such as ALL can provide valid,
The 1994 revised margin calculations removed most of the problems due to statistical techniques and resulted in a reduction in about half of the measured imbalance so the United Nations/United States ratios were adjusted to 153.4 for P-1 grades
The multivariate analysis methods are relatively widely used statistical techniques that can be employed where there is a need to identify homogeneous stations(stations that have recorded similar data over time)
Aware of the difficulties involved in identifying appropriate statistical techniques and applying them to mass data,
Seen from the geospatial information field, statistical techniques are very important as a means to solve issues
food insecurity measures are comparable in terms of severity through the use of statistical techniques borrowed from the toolkit of Item Response Theory(IRT)
all fishing vessels(paragraph 2.271) and to continue work on statistical techniques that adequately represent uncertainty in data processing decisions.
extrapolation of trends in indicators to 2020, based on past data and using statistical techniques to take the projection.