The loglikelihood function is globally concave, and hence a global maximum exists.
One potential problem in estimating latent class models is the possibility of obtaining a local maximum solution rather than a globally-based solution: an estimation algorithm may converge on a local maximum solution, which is the best solution in a neighborhood of the parameter space, but not necessarily the best global maximum.
The sulphur content in bunker fuel varies, but the limit used by ships globally is maximum 3.5%% according to IMO's global rules adopted in 2012 [25].
"We are now hurtling at a frightening pace toward the globally agreed maximum of 2C warming over pre-industrial levels".
To establish node support, we used RAxML's novel fast bootstrap algorithm [62] with 100 replicates and subsequent search for the globally best maximum-likelihood tree in conjunction with the GTRMIX model approximation [63] (command-line switches -m GTRMIX -f a -# 100).
Globally, the minimum and maximum sea ice extents are about 10 million square km and 28 million square km, respectively.
He also insisted that any reductions and investment packages should be co-ordinated globally to have the maximum impact, and called for a deal on liberalising world trade to be struck "within days".
Even in the case of globally optimized alignments by maximum matching approach, validity of local alignment is not guaranteed (Brudno et al. 2004).
Both clusters appeared to be representative because most of the distances between the origin and the projected variables were globally close to the maximum distance (i.e. 1).
Even in the case of globally optimized alignments by maximum matching approach, correctness of local alignment is not always guaranteed (Brudno et al. 2004).
Since is a closed convex set and is a concave function over, any local maximum must be globally optimal [18,Theorem, page 125-126].
