Exact(10)
Repeated measures variance analysis was used to evaluate any statistically significant difference in repeated measurements in the groups.
Among various performance measures, variance is the most basic one for unbiased estimators.
Data were assessed by Repeated Measures Variance Analysis via SPSS (15.0).
The paper analyzed known sources of instability such as the bias measures, variance from sampling, pre-processing and others; after that, it provided recommendations in order to reduce the instability problems.
Given that we have 60 matrices and that we can only estimate the measures' variance, we will analyze the experiments' results based on dependent t tests for paired samples.
Change over time analysis was based on number of patients with available data on both baseline (visit 1) and follow-up visits (visit 2 to 5), and performed via repeated measures variance analysis and McNemar test for continuous and categorical variables, respectively.
Similar(50)
We corrected these measurements by replacing ones where the measured variance is below the value of the variance observed in technical replicates with that value.
The results confirm the dependence of variance reduction on measured variance as concluded in previous studies.
Ratio of adjusted squared error deviation (σ2) and measured variance of the mean (q2) as a function of the number of acoustic features.
To estimate the genetic component of the measured variance for each trait, the environment effects (variance from clonally propagated plants) were subtracted from the total variance (variance from open-pollinated (OP) seed propagated plants).
Statistical significance was assessed using a one-sample t-test measuring variance from 100%, with p<0.05 considered significant.
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