Sentence examples for increment function from inspiring English sources

Exact(4)

(Delta tau ^_{0}) is the increment of pheromones when τ[ n] = τ[ 0], and w is a parameter determining how spread the increment function is.

At medium to high noise densities, the slope of the increment function reached an average of about 0.77 in log-log coordinates for all conditions and observers, significantly less than a slope of 1 (t(15) = 6.19, p<0.001).

At the low noise densities, the slope of the increment function may be less because the density thresholds measured with no masking noise would be the same as those measured at noise densities between −3 and −4 log units (as predicted from the slope at the high noise densities).

c(a) is proportional to the survival function, l(a), which means that c* y) is proportional to some thanatological function, l* y), a stationary thanatological cumulative increment function.

Similar(56)

The same is valid for the increment functions for changes in the yield.

A measure of competition or stand density is a key independent variable in most height and diameter increment functions, as well as the model for mortality.

The increment functions are able to describe the (1) total carbon production of stemwood per hectare (TCP) at increment optimal stand density (SD o p t ) depending only on age, (2) estimate the managed stand density and (3) the maximum possible stand density, estimate (4) the tree size (DBH, height) and (5) the influence of stand density on TCP and DBH increment.

Although many additional submodels and features are often available (e.g., in growth routine, form factor functions, merchantable volume equations, insect damage, etc)., we will focus on the diameter and height increment functions and submodels for competition and crown ratio, which are the routines needed to predict height:diameter ratio.

Mechanisms other than feedback inhibition may be capable of producing similar changes in the slope of the increment threshold function.

At suprathreshold contrasts we found a marked difference between migraineurs and controls in the slope of the increment threshold functions resulting in a crossover pattern for migraineurs but not controls.

We have described a generalization of the Brownian motion model in which the increment-generating function is a stable distribution characterized by heavy tails, which accommodates both the neutral drift associated with Brownian motion but also occasional burst of rapid evolutionary change.

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