Larissa produces a complete draft, following the original almost word by word, with many marginal comments and observations.
When modeling QTL affecting the mean only, the marginal likelihood for observation i (omitting covariates) is the mixture L i = ∑ j = 1 3 p i j N (r j α, σ 2 ), where p i = (p i1, p i2, p i3) is defined as above for two founder lines, N is the normal density, and r = (–1, 0, 1).
Formally, let be a triple of adjacent variables in the HMM and define the marginal probabilities of observation singletons, pairs and triples as (7) (8) (9) is an n dimensional vector, is an matrix and is a series of matrices indexed by x.
To make this estimation one gets where represents the marginal variance of noisy observations and.
For the estimation of the marginal variance of noisy observations, in [5] the following relation is proposed: (9).
We evaluate the marginal effects at every observation and use the sample average of the individual marginal effects.
We again evaluate the marginal effects at every observation and use the sample average of the individual marginal effects.
With the exception of the implants of no radiographs or which failed during observation, the marginal bone loss of 11 cases of group 1 and 22 cases of group 2 was measured.
The simultaneous observations showed conservative, marginal nitric oxide (NO) fluxes of 0.058 ± 0.032 (2SD) kg N ha− 1 yr− 1.
Although the most complex model reproduced the field observations best, the marginal improvement in model performance compared to simpler models was outweighed by the higher costs of increased complexity.
