Sentence examples for dependence of the variable from inspiring English sources

Allometric scaling laws, which can be used to characterize many biological systems [1] [3], take the form Y = bXα, which represents the dependence of the variable Y on the variable X as a function that involves the normalization constant b and the scaling exponent a.

This parameter defines the limit of spatial dependence of the variable concerned (detailed in [ 22, 69]).

The statistic varies from 0 to infinity, with K < 1 indicating low phylogenetic dependence of the variable and K > 1 indicating high phylogenetic signal of the variable.

SAC can be a property of the variable itself (inherent or intrinsic SAC) or it can arise due to the dependence of the variable of interest on another spatially autocorrelated variable (induced SAC) (Legendre et al. 2002; Fortin and Dale 2005).

The objective of the MICMAC analysis is to analyse the driving power and the dependence of the variables (Faisal et al. 2006; Mandal and Deshmukh 1994).

The objective of MICMAC analysis is to analyse driving power and dependence of the variables (Faisal et al. 2006; Mandal and Deshmukh 1994; Jadhav et al. 2014a).

Table 1 Test Results for Cross Sectional Dependence of the Variables Variables and Test Names Breusch - Pagan LM Pesaran - Scaled LM Bias Corrected Scaled LM Pesarn CD H 0 : No Cross - Section Dependence GDP (Current US $) Statistic 10994.69a 291.99a 290.99a 104.58a Prob.

Regression lines were fitted to the data, showing the dependence of the variables on the number of movable items.

The latter involve both the spatial dependence structure of the variable of interest and its relationship with the observable variable.

Therefore we are interested to know the behavior of the random variable (6) T ′ = min { t : Y t > 0 } (notice the dependence of the random variable T′ on n).

Therefore we are interested in knowing the behavior of the random variable (3) T ′ = min { t : Y t ≤ t + 2 } (notice the dependence of the random variable T′ on n).