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Jackknife residuals were normally distributed and the analysis of the homoscedasticity showed a homogeneous variance distribution.
Bars show the variance distribution across 40 inter-SLE periods.
Data were analyzed by SAS PROC UNIVARIATE to test their normality and equal variance distribution.
The signal-dependent variance distribution in the AB1700 data is a non-trivial function of signal intensity, describable using a composite function.
Based on the statistical properties, we have derived a signal variance distribution model for AB1700 data that is necessary for such development.
Orthogonal models which do not have certain statistical properties (e.g., equal variance distribution) have been dismissed without being tested under the same stimulus conditions as OF (localised segments of whitened natural scenes).
Similar(34)
These curves were generated using one of the combinations of parameter values from Lampinen's study, namely a true d′ of 1.5 and equal variance distributions.
When we used variance priors informed by frequentist approximate variance distributions, this statistical significance was recovered.
Further, approxi-mating the heterogeneity variance distributions as suggested above, may be work intensive.
According to the DIC, the informed variances model based on the frequentist approximate variance distributions yielded the best model fit (Table 3).
In this example, a number of reasons suggest the informed variances model based on frequentist approximate variance distributions is the more optimal choice.
More suggestions(15)
deflection distribution
variability distribution
divergence distribution
inconsistency distribution
gap distribution
variance shares
deviations distribution
variance sharing
differential distribution
variance shared
gaps distribution
variance distributions
variance proportions
variance ranges
variables distribution
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