Sentence examples for relationship variance from inspiring English sources

In 1961, L. R. Taylor brought to wide attention an approximate empirical power law relationship, variance = a mean) b, where a > 0 and b > 0, between the variance and mean of the size of insect populations (Taylor 1961).

In the first stage, we estimated the SRM actor, partner and relationship variance without predictors using a random intercepts for actor, partner, dyad and group (Kenny & Livi, 2009).

By correcting for the average mass-tarsus length relationship, variance components (and derived parameters) from our model of mass can be viewed as pertaining to body condition (i.e. mass "corrected" for skeletal size).

The R2 value is the relationship of variance of the stock returns to the variance of the overall market returns.

Nevertheless, the relationship between variance and average abundance is settled for a Poisson distribution, the variance is equal to the mean.

With this new relationship the variance of residence time distribution can be computed much more efficiently and accurately.

The relationship between variance of the (u_{t}^{prime }s) and (lambda ) for the t-distribution is given in Harvey (2013, p. 62).

Analytical expressions for the relationship between variance, where it is controlled by short-range correlation, and sample size for common forms of the correlation coefficient are developed using an orthogonal (L1-metric) method of measuring distance.

It is important to describe this relationship as variance in Real Options Theory expresses the effects of managerial flexibility on inflows from creating, or initiating commercial opportunities in the future (McGrath et al. 2004).

Using the generalized form of Weber's law, which is the most accepted expression of the relationship between variance (difference threshold) and duration (real time) [49], a linear regression was performed.

The relationship between variance explained and physical length of the chromosome was expressed as the coefficient of determination (r) from the regression of variance explained on physical length.