Sentence examples for likelihood principle from inspiring English sources
The likelihood principle in statistics stipulates that likelihood functions encode all relevant information obtainable from experimental data.
If it comes to that, there are several counter-examples, and/or paradoxical consequences to likelihood principle.
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.
According to the likelihood principle, if the designs produce proportional likelihood functions, one could make an identical inference about a parameter from the data irrespective of the design, which yields the data.
A new methodology for seismic risk analysis based on probabilistic interpretation of deterministic or scenario-based hazard analysis, in full compliance with the likelihood principle and therefore meeting the requirements of modern risk analysis, has been developed.
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.
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.
