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Gross domestic product - a measure of the value of goods and services a country produces - is perhaps the most powerful statistical indicator in history, and has a huge influence on global policy.
Factor analysis is the most powerful statistical procedure for scrutinising relations between observed and latent variables.
The method described here makes use of the intrinsic variability associated with cDNA library measurements and represents the most powerful statistical analysis possible associated with that model.
Alternatively, parametric linear regression, when assumptions of normality and homoscedasticity are met, is uniformly the most powerful statistical method for ascertaining differences in group means [ 52, 69].
The most powerful statistical solutions may require capacity building, including new software and skills development, before they will be broadly adopted.
Parametric tests were described as " the most powerful statistical tests used to detect a difference if one exists and if the assumptions of about the data met i.e. the collected data should be on an interval or ratio scale and described using the mean and standard deviation (SD)." T tests, ANOVA, correlation, and regression were the discussion areas.
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All the multivariate statistics analyses of lithofacies classification and permeability modeling with results visualizations were implemented through R, the most powerful open-source statistical computing language.
In this paper, the entire procedure of Gradient boosting regression modeling was implemented by gbm package in R, the most powerful open-source statistical language (Ridgeway 2017).
The type of screening service that a TWA offers in effect is likely to be one of the most powerful remedies against statistical discrimination since the client firm will be able to observe the real productivity without hiring the worker.
The most powerful constitutional power was imperium.
Consequently, the criterion given in (17) is equivalent to an asymptotically uniformly most powerful test among all invariant statistical tests for κ(Pfa, Pd) = 1 (see Figure 2 for the values of (Pfa, Pd) such that κ (Pfa, Pd) = 1).
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