"maximum likelihood principle" is correct and usable in written English.
You can use it to explain the principle of selecting the best solution among several possible solutions given data and the probability of each solution. For example, the maximum likelihood principle suggests that when a hiker is trying to decide which path to take, the most likely path to take is the one with the highest probability of leading to their destination.
We will show how the maximum likelihood principle leads to logical alternatives to least squares estimation for non-Gaussian distributions, taking the Poisson distribution as an example.
An extended maximum likelihood principle is described by which inverse solutions for problems with uncertainties in known model parameters can be treated.
A procedure based on the maximum likelihood principle applied to the general case when all variables are subject to random error has been developed for the estimation of parameters in thermodynamic relationship (gamma) models (eqns 2 5) from binary VLE x-T-P data sets.
under maximum likelihood principle with BW algorithm firstly.
In fact, AIC is the generalization of maximum likelihood principle.
Localization is achieved using the direct-path terms on the basis of the maximum likelihood principle.
Different reconstruction strategies on 2D hexagonal lattices are examined regarding maximum likelihood principles including maximization of obstruction effects and minimization of either local or global variance of conductances between sorption sites.
The channel parameter estimator considered in this contribution is based on the maximum-likelihood principle.
However, estimating parameters using maximum-likelihood principle is very hard if there are some missing data or latent variables (i.e., cannot be observed).
There are two equivalent approaches for CPE, which are based on the maximum-likelihood principle: One approach is based on the received samples and the other approach, which is performed in two steps, is based on preliminary channel estimates obtained via standard channel estimation.
To evaluate the robustness of these groupings, further analyses of the full-length sequences and the cytoplasmic domains were conducted using the program PHYML, that estimates phylogenies based on the maximum-likelihood principle [ 51], with inclusion of bootstrap analysis [ 52].
