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Due to the scattering of the experimental results, statistical analysis was performed using both two- and three-parameters Weibull, and Anova variance methods.
After the application of variance methods, The weight window (W-W) method was found to be the most suitable method where the resulting errors were reasonable.
In this work, a multiple linear regression modelling technique is used in synergy with the genetic algorithm optimization and the analysis of variance methods to obtain models to classify the motor operating in normal and in short-circuit conditions.
These were the single link, complete link, group average (UPGMA) and Ward's minimum variance methods.
Katul, G, Hsieh, CI, Oren, R, Ellsworth, D, and Phillips, N. "Latent and sensible heat flux predictions from a uniform pine forest using surface renewal and flux variance methods". Boundary Layer Meteorology 80, no.
Continuous outcomes were converted to standardized mean differences to assess the treatment effect, and inverse variance methods used to combine data.
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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.
Generally, the variance method is used to measure the uncertainties of BMA prediction.
The data were analyzed in JMP® (SAS institute) software using analyses of variance method.
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