conditional maximum likelihood estimation造句

The most common approaches are types of maximum likelihood estimation, such as joint and conditional maximum likelihood estimation.
This result is achieved through the use of conditional maximum likelihood estimation, in which the response space is partitioned according to person total scores.
More generally, a number of item parameters can be estimated iteratively through application of a process such as Conditional Maximum Likelihood estimation ( see Rasch model estimation ).
In turn, the Rasch model for dichotomous data ( Rasch, 1960 / 1980 ) is identical to the BTL model after the person parameter of the Rasch model has been eliminated, as is achieved through statistical conditioning during the process of Conditional Maximum Likelihood estimation.
It should be noted, however, that this does not mean that a measurement process entails making such counts in a literal sense; rather, threshold locations on a latent continuum are usually " inferred " from a matrix of response data through an estimation process such as Conditional Maximum likelihood estimation.
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