an approach of using the likelihood as the basis
An approach of using the likelihood as the basis of estimation without the requirement to specify a parametric family for data. Empirical likelihood can be viewed as the example of nonparametric maximum likelihood.
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this term applied in the context of comparing the different methods and techniques of estimating the same parameter the estimate with the lowest
this is acronym for the epidemiological graphics estimation and testing of the program developed for the analysis of the data from studies in
the method or technique for producing the sequence of parameter estimates that under the mild regularity conditions converges to maximum likelihood
the procedure in which the prior distribution is required in the application of bayesian inference it is determined from empirical evidence namely
an approach of using the likelihood as the basis of estimation without the requirement to specify a parametric family for data empirical likelihood
the procedures used for determining how the quality of life is affected by the environment in particular by factors such as air and solid wastes
the rapid development or growth of the disease in a community or region statistical thinking has made very much significant contributions to the
the term used for the estimation of the misclassification rate in the discriminant analysis number of techniques has been proposed for two-group
the process of providing the numerical value for the population parameter on the basis of information gathered from a sample if a single gure is
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