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However, when applying an ordinary variance component analysis, ignoring its non-normality will yield biased estimates, underestimating the effects of shared environment and overestimating the effects of dominance (cf. Derks et al. 2004).
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Figure 6 Porosity: a) ordianry kriging; b) ordinary kriging variance; c) coefficient of variation; d) histogram of sample data.
The ordinary kriging variance map is shown in Figure 4b, which is smoother than that of the simple kriging variance map.
The ordinary cokriging variance map is shown in Figure 11b, which is more smooth than that of the simple cokriging variance map.
As demonstrated by David [ 38], the ordinary sample variance estimator, ∑ i (x i − x ¯ ) 2 / (n − 1 ), underestimates the population variance if observations are not independent and if the sample size is not large.
The isotropic ordinary kriging variance map is shown in Figure 2b.
The spatially averaged ordinary kriging variance (AOKV) is minimized using simulated annealing, and then, the optimal in-core neutron detector locations are obtained.
We therefore claim that unigenic evolution is fundamentally incapable of detecting hyper-mutability, positing that unexpectedly-large site-mutation counts stem from either ordinary sampling variance, or non-modelled systematic, procedural, or other experimental errors.
As estimated results using ordinary least square (OLS) regression only account for individual variations and ignore average variances across community groups, the use of OLS provides biased coefficients.
In contrast to the ordinary concept of variance, conditional variance of X given ℬ is defined as Var B X = Cov B ( X, X ).
These 'sequences' were used with SplitsTree version 4.11.3 on default settings (characters transformation: uncorrected P/ignore ambiguous states, distance transformation: Neighbour-Net, and variance: ordinary least squares).
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