Generally, it is quite complex to generate the likelihood confidence region since many function evaluations have to be performed in the surrounding of the parameter estimates θ ^.
As for the fine CFO estimation, the received signal vector is recovered at Nyquist rate with the reconstructed EMV and then used to generate the likelihood function, with which an interpolation method is employed to seek the local maximum near to the value of coarse CFO estimation. .
The alternative findings that some other marine-derived oligosaccharides, even bearing the same negative charges but with different sugar compositions, did not generate the likelihood of functions as MdOS did (data not shown), help reinforce this view.
It also recognises the non-independence of certain pieces of information, such as the male gender and recognised male first names, in generating the likelihood ratio.
Quite apart from these methodological conclusions, the study finding shows that this simple and routinely collected information on cognition is extraordinarily predictive of the complex collection of later-life behaviours and circumstances that jointly generate the likelihood of a completed questionnaire being returned.
We construct a triplet substitution model that generates the same likelihood as a singlet substitution model given the same alignment.
To describe population-level dynamics of the different occupancy states (unoccupied, occupied by P. phylax, by C. mckeyi or by both species), we used an information matrix derived from recapture histories of nesting sites and the multi-state option in the software MARK [68] that generates the maximum-likelihood estimates of annual survival and transition probabilities, Ψ.
Our technique first examines the candidate generating the highest likelihood, followed by the candidate generating the second highest likelihood, then by the candidate generating the third highest likelihood and so forth until all candidates (four in our case) are examined.
Hence, fusion order (1,2,3,4) means that it first examines the candidate generating the highest likelihood, followed by the candidate generating the second highest likelihood, then by the candidate generating the third highest likelihood, and finally followed by the fourth and last candidate.
Our fusion order first examines the candidate generating the highest likelihood, followed by the candidate generating the second highest likelihood, then by the candidate generating the third highest likelihood, and so forth until all candidates (four in our case) are examined.
