Bayesian estimation and maximum likelihood methods represent two central paradigms in modern statistical inference. Bayesian estimation incorporates prior beliefs through Bayes’ theorem, updating ...
The estimation of the five parameters in a mixture of two univariate normal densities was first considered by Karl Pearson as long ago as long ago as 1894. In this paper maximum likelihood estimation ...
Generalized estimating equations (GEEs) have been successfully used to estimate regression parameters from discrete longitudinal data. GEEs have been adapted for spatially correlated count data with ...
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