The phrase "are based on random" is not correct as it is incomplete and lacks context.
It could be used in a sentence discussing concepts or theories that rely on randomness, but it needs additional information to be clear.
Example: "The results of the experiment are based on random sampling methods to ensure unbiased data."
Alternatives: "are derived from randomness" or "are founded on random principles".
These methods are based on random metallographic examination of longitudinal microsections and evaluation with standard pictures.
Any selective advantage that one homologue pair has for being retained over its partner will lead to a transmission ratio distortion (TRD), violating Mendel's laws of heredity that are based on random segregation.
The experimental evaluations are based on random graphs that simulate common critical infrastructure dependency characteristics as identified by recent empirical studies.
We describe a number of algorithms that are based on random forest to estimate the conditional average treatment effect (CATE) function and we compare them using theoretical results under a simple causal model and simulation studies.
(ii) We characterize information-theoretic limitations of methods that are based on random projection, which surprisingly shows that the most widely used form of random projection is, in fact, statistically sub-optimal.
In this paper we present a new methodology that exploits the benefits of graphics processing units (GPUs) along with the master slave architecture for geostatistical simulations that are based on random paths.
A number of operational land use-transportation models make use of spatial input output (SIO) models, some of which are based on random-utility theory.
However, it is important to understand that PI are different compared to CI as the former are based on random-mean effects [ 35].
The results were materially the same when we repeated these analyses with adjustment for the subtracted component, respectively.> -wrap-foot> ands and 95% CIs are based on random-effects meta-analyses.
The second one is based on random sampling and allows the uncertainty propagation in all responses computed by the code.
