density-independent factor Encyclopedia any factor, such as climate, that is not dependent on the density of population. CompareDENSITY-DEPENDENT FACTOR. Collins Dictionary of Biology, 3rd ed. © W. G. Hale, V. A. Saunders, J. P. Margham 2005 ...
Learn the definition of the density-independent factors. Know the difference between density-dependent and density-independent. Discover...
The meaning of INDEPENDENT is not dependent. How to use independent in a sentence. Synonym Discussion of Independent.
an independent set of vectors (2) : having the property that the joint probability (as of events or samples) or the joint probability density function (as of random variables) equals the product of the probabilities or probability density functions of separate occurrence 2 capitalized : of ...
2.(General Physics)physicsAlso called:transmission factora measure of the ability of anything to transmit radiation, equal to the ratio of the transmitted flux to the incident flux; the reciprocal of the opacity. For a plate of material the ratio of the flux leaving the entry surface to that...
1.An instrument for measuring the density of a fluid. Synonym(s):densimeter 2.An instrument for measuring, by virtue of relative turbidity, the growth of bacteria in broth; useful in microbiologic assay of nutrients and antibiotics, phage studies. ...
With regard to the population size of a species and what factors may affect them, two factors have been defined. They are the density-dependent factors and the density-independent factors. Find out the differences between the two in this tutorial. Know how these factors affect populations in an...
A low R-squared value suggests that the independent variable(s) in the regression model are not effectively explaining the variation in the dependent variable. This could be due to factors such as missing relevant variables, non-linear relationships, or inherent variability in the data that cannot...
(or heteroscedasticity) happens when the standard deviations of a predicted variable, monitored over different values of an independent variable or as related to prior time periods, are non-constant. With heteroskedasticity, the tell-tale sign upon visual inspection of the residual errors is that ...
Perhaps the most common probability distribution is the normal distribution orbell curvealthough several distributions are commonly used. The data-generating process of some phenomenon will typically dictate its probability distribution. This process is referred to as the probability density function. ...