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In particular, the EM-algorithm applied to this marginal likelihood is computationally slow, a marginal likelihood gives biased ML estimates for variances, and the regression approximation confers additional flexibility for modeling different distributions for the phenotype as well as different mean-variance relationships.
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The mixture modeling approach, by mixing different distributions according to the missing / non-missing status, is attractive and the present study will focus on this approach.
Imputation was performed according to different scenarios, using a mixture modeling approach which assumed that the variables of interest have different distributions according to the missing / non missing status.
Linux has hundreds of different distributions.
Pandemic events are characterized by different distributions of age risk, which may alter the severity classifications provided by our index; an initial pandemic wave may be dominated by morbidity among school-aged children, and empirical and modeling studies suggest that adults are more likely to become infected in the season following a pandemic [ 5, 36– 36].
The modeling results include two different distribution files: topic distribution over document and word distribution over topic.
Modeling results of other scenarios can be found in Tables 3 and 4. Clear-cutting and fires have different distribution in national parks (NP) and national forests (NF) (Figure 7b).
Carbon dioxide showed a very different distribution.
Different medium, different distribution channel.
It could be a different distribution system.
The modeling is sound, and the authors use multiple avenues (different models, different modeling approaches) to support their theory.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com