The phrase "a standard variance" is correct and usable in written English.
It can be used in contexts related to statistics, finance, or quality control, where it refers to a typical or expected level of variation from a mean or standard.
Example: "In our analysis, we found that the results fell within a standard variance, indicating consistency in the data."
Alternatives: "a typical variance" or "an expected variance".
X n is a non-linear term, representing medium- and small-scale feature information; G is a Gaussian random variable and follows the distribution of N (0, 1); σ is a standard variance of the normal distribution of data; H is the Hurst index depicting the detail and roughness of the data information; ‖ΔX‖ is a sample interval; and K is the calibration coefficient of the non-linear term.
Assuming a standard variance of LSAS scores in our sample, this supported the use of 10 LSAS points as a non-inferiority margin.
P-values and CI are based on a standard variance estimator.
Next, one uses these estimates of the θ j s as observed values in a standard variance decomposition analysis.
limma utilizes a standard variance moderated across all genes using a Bayesian model and produces P values with greater degrees of freedom [ 99].
All synthetic experiments comparing statistical tests used a standard variance components model in which there was only one kernel the one used to test a set of SNPs, as in all of the SKAT papers (Lee et al., 2012a and 2012b; Wu et al., 2011).
In other words, the reservoir permeability followed a normal distribution with a known standard variance of 0.5.
It permits selection of any subset of the 2500 database variables, conditioning on any of 60 group structures in 18 predefined populations (as well as on all experimental protocols), using any of a large set of standard variance visualization schemes, without concerns about implementation or details of data cleaning (because these steps are provided by ViVA).
Alta is a wind generator which observes normal distribution with a mean output 100 MW and standard variance 16.67 MW.
We tested 215 GBM samples with 204 genes out of 21,856 pseudogenes, setting an arbitrary cutoff of the standard variance at 0.4.
This procedure calculates standard variance components and an array of haplotypic correlation measures for population structure, referred to as Φ-statistics.
