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Three statistical estimators have been used (variance, skewness and kurtosis) to enhance characterization of these anomalies.
Robeson and Steyn (1990) developed an equation similar to equation (6) and used variance analysis to find the best model fit among several slight variations of the equation.
We used variance analysis, χ2 (Pearson's and maximum likelihood chi-square), and Fisher's exact test in the analysis of contingency tables.
We used variance decomposition to address cross scale correlations among three nested spatial scales and to analyze the variation in nest box occupancy explained uniquely by predictors at each spatial scale.
We used variance partitioning based on redundancy analysis to establish the effects of environmental variables on the species composition of vascular plants and three insect taxa (Geometridae, Arctiinae and Carabidae).
In our GPU code, we used variance reduction techniques for photon transport as described for SIMIND and used a modified version of the analytical function for the geometrical response of the collimator, as first proposed by Metz et al. [29, 30] and extended to the simulated ARF as proposed by Song et al. [33].
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This method used variance-stabilized data to obtain sample-to-sample distance.
We used variance-weighted least-squares regression to evaluate trends in the Kappa values for sub-groups [ 15].
The notion of this multiplicative error term in this context is not consistent with the typically used variance-weighted meta-regression models where the error is additive [ 23].
Heritability estimates were calculated using variance components analysis.
The achieved data from pretest and posttest were analyzed using variance analysis as well as SPSS.
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