The phrase "allow for random" is correct and usable in written English.
It can be used when discussing the need to accommodate or include randomness in a process or system.
Example: "In our experiment, we need to allow for random variations in the data to ensure accurate results."
Alternatives: "account for randomness" or "make room for randomness".
Between 1876, when the last new polling technology, the telephone, was invented, and the 1960's, when the phone was sufficiently widespread to allow for random sampling, it occurred to no one to go out and install 100,000 telephones in American homes.
During fertilisation, when tramline length and the driving distance needed to apply one tanker load of fertiliser are not coordinated, CTF does not allow for random turns and requires the tanker to drive empty along the traffic path.
We present logistic and probit mixed models that allow for random subject and item effects, as well as interactions between experimental conditions and both items and subjects in either one- or two-factor repeated-measures designs.
Estimates from this two-stage approach can be mapped to estimates from hierarchical models, in the sense that they allow for random effects in the intercept coefficient.
The model was fitted by full Bayesian inference using Markov chain Monte Carlo simulation methods that allow for random samples to be drawn from posterior distributions.
We added a random slope, υ1 i, to allow for random variation in the relationship between HSMR and year across hospitals.
After each season, students place alleles of survivors into a bag, which allows for random assortment.
A stochastic medium model is a tool for estimating probability distributions of potential outcomes by allowing for random variation in one or more inputs over time.
The breakage kernel used in the model allows for random scission, with mid-point being the most probable, so that the product distribution does not comprise a single peak moving smoothly through time but peaks form at several discrete sizes.
It was able to overcome the three shortcomings of the standard logit: (1) it allows for random taste variation, (2) unrestricted substitution pattern and (3) correlation in unobserved factors over time (McFadden and Train 2000).
The other advantage of the ordered probit analysis over the ordered logit is that it allows for random test variation, correlated error terms and unequal error variances, but also can capture any substitution pattern (Borooah 2002).
