quasi-random

quasi-random

Referring to a method of allocating people to a trial that is not strictly random.

Examples, quasi-random methods
Allocation by date of birth, day of the week, month of the year, by medical record number, or simply allocation of every other person.
References in periodicals archive ?
The quasi-random nature of the assassination enables us to estimate the market's reaction in a way that election outcomes, which generally are well anticipated, do not.
Evidence from Quasi-Random Assignment to Trade Adjustment Assistance"
In the coding process, each sensor node will receive data from different source with certain probability according to the quasi-random matrix.
This quasi-random reshuffling allowed us to observe how borrowers' repayment patterns differed when they were paired with male and female loan managers.
They therefore focus on differences in the dates on which counties became connected to the railway network, which made it much easier for immigrants to reach a particular location, as a source of quasi-random variation in immigrant inflows.
There are countless phenomena in nature that have some kind of randomness attached to them, ranging from the truly random, such as quantum effects, to quasi-random, such chaotic effects that start as predictable phenomena and quickly become totally erratic.
In RVE6, as shown in Figure 1(f), the nanowires are distributed in a quasi-random fashion, while maintaining the reflectional symmetries.
A quasi-random two-dimensional data set is used as a benchmark problem to test the performance of the three clustering algorithms.
The same meta-analysis compared vitamin D analogs to placebo or no treatment (8 trials, quasi-random and RCT, 1743 patients) on the risk of fracture, again finding no benefit in all but one case.
Figure 3 shows the random sequence contrast chart of quasi-random sequence conformed to the standard normal distribution, which is generated by sobol combined with the Moro algorithm, andpseudo-random number conformed to the standard normal distribution, where samples m = 1000.
With no archival sources available for postcard publishers and limited public collections, Rowley (mostly) uses a personal postcard collection as her main source, a circumstance that made it difficult for her to impose order over many presumably quasi-random eBay purchases.
This is especially significant because the EEOS data predate nearly all desegregation orders that were sufficiently mandatory to have generated any quasi-random variation.