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Matlab was used to analyze the increase in monitored impedance fluctuations accompanying cell differentiation by the moving variance method (Schneider et al., 2011).
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They may be labelled "low" (grouping 22.59% of the moving variances), "moderate" (grouping 49.08% of moving variances) and "high" (grouping 28.32% of the moving variances).
In their research, two priority rules, variance method and variance mean method were developed.
Besides, every stochastic error coefficient is decreased effectively by total variance method, comparing with Allan variance method.
Experiments analysis is performed using analysis of variance method.
In this field, Professor Macha proposed a weight function method, and then a variance method.
The variance method was used to compare the mean differences.
Summary estimates were obtained using the inverse variance method.
Meta-analysis was performed using the inverse variance method.
The pooled prevalence was calculated using the inverse variance method.
This is because, in many cases, the Knapp-Hartung method estimates smaller inconsistency variances compared with the inverse variance method.
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