Sentence examples for valid rank from inspiring English sources

Let U1,  U2 be uniform [0,1] random variables, and let ρ = (ρ13, ρ23, ρ12) be a valid rank correlation matrix.

As observed by Devroye and Letac (2010), any valid rank correlation matrix can be written as a finite convex combination of extreme correlation matrices, also called extreme points (Theorem of Carathéodory (1911) and Steinitz (1914)).

Therefore, to enable a rigorous use of any valid rank correlation matrix, there is a need for a more comprehensive understanding of the class of universal copulas, at least in small dimensions.

Kurowicka and Cooke (2006), Section 4.4.6, p.102, generate universal trivariate copulas with arbitrary valid rank correlation matrices using the sampling algorithm (2.7) based on the so-called "elliptical copula" for the involved copulas C13 u1, u3), C23 u2, u3), C12|3 u1, u2).

Considering the different social situations of face-to-face interviews versus self-administrated questionnaires, we submit that such stability coefficients may reflect a reliable estimation of valid rank order consistency of personality traits across 5 years.

Ferguson's Delta [ 5] is computed on the assumption that the measurement is valid and reliable to the degree that the instrument produces a valid rank ordering of people (number of discriminations observed/total number possible).

The selection and comparison of variables by curve analysis was performed since this method gives a valid ranking of variables and does not (in contrast to ranking methods based on p values) depend on the number of subjects available for that specific variable [ 17].

Self-reported weight and height provide a valid ranking of BMI for middle-aged Norwegian women.

Our self-reported weight and height data provide a valid ranking of BMI for middle-aged Norwegian women.

Previous comparative studies have shown that this approach, using qualitative or semiquantitative exposure assessments by workers and health and safety professionals, can provide a valid ranking of exposure levels relative to quantitative measurements (Flynn et al. 1991).

The selection and comparison of variables by ROC-curve analysis was performed because this method gives a valid ranking of variables and does not depend on the number of patients available for that specific variable (in contrast to ranking methods based on p values) [ 16].