Sentence examples for statistical range from inspiring English sources
(T^2) is the value for each unit time produced in the statistical range between point and the mean and this statistic (T^2) is computed based on multivariate data set.
My surgeon describes me as an "outlier" -- someone who falls outside the normal statistical range of success.
A useful way to assess the density of rocks is to make a histogram plot of the statistical range of a set of data.
The obtained results indicated that neural network, trained on the database, could be used for predicting the seismic behaviour of framed-masonry structural elements, with limitation of inputs according to the statistical range of input data.
That puts the Neandertal sequence outside the statistical range of modern human variation and, says Pääbo, makes it "highly unlikely that Neandertals contributed to the human mtDNA pool".
Thus, the results of SAOS cells in contact with the Bi2S3/chitosan nanoconjugate samples evidenced no difference in the cell viability and non-toxic effect compared to the control group, within the statistical range of variation (Fig. 6).
The statistical ranges (mean and standard deviation) of some of the major influential MSW properties were derived from the published studies.
Van Krevelen's empirical solubility relationships were used to calculate the expected absorbance levels of CO2, and found to be highly dependent on the choice of constants within the statistical ranges of error of the Van Krevelen relationships.
In "The effect of cooperation on localization systems using UWB experimental data" by D. Dardari et al., an extensive measurement campaign is described and the measured data are used to derive statistical ranging models based on TOA estimation in the presence of LOS and NLOS propagation conditions.
The computation of the width of the three histograms is a very strong feature for the prognosis of cardiovascular risk, as it gives the absolute statistical ranges of the NN intervals and its projections.
Statistical methods range from descriptive statistics to a classification of SX courses, and a longitudinal structural equations model with full information maximum likelihood estimation of missing data.
