Bayesian estimation and maximum likelihood methods represent two central paradigms in modern statistical inference. Bayesian estimation incorporates prior beliefs through Bayes’ theorem, updating ...
Problems of maximum likelihood estimation are discussed for shape and scale parameters from certain decreasing hazard rate distributions, typically either mixed-exponential or "work-hardened." ...
This is a preview. Log in through your library . Abstract We study maximum likelihood estimation for the statistical model for undirected random graphs, known as the β-model, in which the degree ...
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