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Coalescence time of the 21 major haplogroups of Tibetan highlanders was estimated employing ρ-statistic based method and maximum likelihood method (See details in Methods).
According to the phylogeny, the coalescence time of lineages of interest was estimated using ρ statistic-based method and maximum likelihood method implemented with all available sequences in these lineages.
Integrating the attractive characters of tensor representation, local-based method, and maximum margin classifier, TLMMC shows impressive results in both theoretical analysis and empirical validation.
The point estimation method and maximum entropy principle are adopted to efficiently evaluate the effect of uncertain parameters on the identified parameters.
The interaction integral method and maximum circumferential tensile criterion are used to calculate the stress intensity factor (SIF) and crack growth angle, respectively.
The accuracies of the rough set method and maximum likelihood classification were compared, yielding overall accuracies of 94.15% and 93.88%, respectively.
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In this paper, a novel bootstrap maximum entropy method (BMEM) is proposed, which combines the advantages of bootstrap method (BM) and maximum entropy method (MEM).
Briefly, these consist of case deletion, single and multiple imputation methods, and maximum likelihood methods.
A phylogenetic tree of the sequences was constructed by using neighbor-joining methods and maximum composite likelihood distances.
Seven of 38 taxa had neither N nor Gn sequences (Table 2), but this absence did not preclude use of tree-based Bayesian methods and maximum likelihood methods.
As a control we have also build trees from the same set of sequence using neighbor joining methods, and maximum likelihood methods.
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