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Interestingly, there also seems to be significant variance based on article topic.
Analysis of variance based on a completely randomized design was performed using SPSS (v 20) software.
Recently, Zeng and Cai (2015) proposed a decomposition framework of the E variance, based on water balance and the Budyko hypothesis.
Thus, the estimate of variance based on these N 1 normally distributed samples is: σ ̂ ν 2 = 1 N 1 ∑ i = 1 N 1 ν i 2, (44).
The method produced 11 factors from 42 variables to explain 76.4% of variance based on factor analysis, and created SoVI scores using the factor scores for each county.
In "Analysis of variance based on fuzzy observations", a new method for ANOVA test for fuzzy observations is provided and discussed.
Thus, in this paper, we further investigate the variance based on the credibility measure from the point of view of inequalities for the sake of better applications.
In geostatistical applications, sampled data points are available and calculation of spatial variance based on the analysis of data is possible.
However, the existing researches regarding the variance based on the credibility measure are hardly seen due to the complexity of the calculation process.
Exact confidence intervals for a proportion of total variance, based on pivotal quantities, only exist for mixed linear models having two variance components.
A hierarchical analysis of variance based on residual maximum likelihood (REML) was used to analyse the data and provide a first estimate of the variogram.
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