The phrase "a random deviation" is correct and usable in written English.
It can be used in contexts where you are discussing variations or changes that occur without a specific pattern or reason.
Example: "In the experiment, we observed a random deviation in the results that could not be explained by the controlled variables."
Alternatives: "an arbitrary variation" or "a chance deviation."
2 sigma implies that 5% of the time a random deviation can produce numbers greater than that threshold.
Similarly, we are unmoved by statistical studies suggesting that when players are "hot" this is usually just a random deviation, a matter of luck.
One method to impose random imperfections is node shaking or a random deviation in material properties (Kilchert 2013; Heimbs 2008).
Rather than choosing the mean as the estimate at each node, SGSIM chooses a random deviation from this normal distribution, selected according to a uniform random number representing the probability level.
Scanning electron microscopy (SEM) investigation of the devices fabricated revealed the presence of a random deviation of the Si wall thicknesses, δdSi, of up to 10.8% of the target thickness.
The usually fixed attachment angle of myosin to the actin filament is much less well defined with a random deviation of about 15° in the presence of the mutation for both apo and ADP states.
Since stochastic simulations yield integral values, we added a small random "deviation" term [= (rand*0.5) where rand is a MATLAB® function that draws pseudorandom values from the standard uniform distribution on the open interval (0,1)] to each simulated x and y value to visualize multiple cells situated at the same point in x-y phase space.
In order to maintain a generic performance comparison irrespective to any channel estimation technique or type of CSI errors, these errors are simulated by adding a complex random deviation to the channel coefficients available at the transmitter to derive an error in the estimated coefficients of (25).
The corresponding B allele frequencies (BAF) for all the genotypes in G are (9) μ g = { 1 2, ϵ, 1 - ϵ, ϵ, 1 2, 1 - ϵ, ϵ, 1 3, 2 3, 1 - ϵ } in which, ε ≪ 1 is a small random deviation accounting for general sequencing errors.
In view of the above discussion of the asymptotic logarithmic delayed likelihood ratio, it is natural for us to think of L ω as a measure how far (the random deviation) of (X n )n∈Nis from being independent and how dependent they are.
To illustrate such a requirement, an ensemble of 3,000 sets of the random deviation from N 0, 1) was generated for each data point in Figure 1, where the mean and standard deviation of the estimates are plotted for each ensemble.
