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For example, classification into linear and non-linear methods considers variance-based, correlation-based, and simple power spectrum-based methods as linear methods and all other methods as non-linear methods[8 10].
As a supplement, it may also consider variance fit, which is the same as R2 of regression analysis.
Peer reliability alone is not an adequate measure of malicious behavior during such an attack; one must also consider variance or risk.
In this paper we consider variance estimation for population totals and ratios in complex, cross-stratified surveys in which the ultimate sampling weights are random variables, dependent on the first phase of sampling.
Now consider variance estimation.
Sampling was purposive to consider variance by age, underlying diagnosis and gender.
Significant changes of metabolites were analysed considering variance homogeneity and p-values below 0.05 were considered as significant.
Basically, a linear regression model was fitted with females coded as 0, 1, or 2 without considering variance heterogeneity.
The rather simple splicing index performed well in most of the scenarios, although this method does not consider variance and does not perform any kind of deviation correction.
In order to consider variance instability of prevalence in both Global and Local geographic autocorrelation analyses, the Empirical Bayes (EB) adjustment for the variance instability of infection prevalence was employed [ 16].
Our focus has been stochastic models, but there are well-established techniques used to investigate the dynamics of deterministic systems that can be seen as potential alternatives to our methods (ignoring their fundamental limitation of not considering variance).
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