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." ...
A particular type of one-parameter exponential family of stochastic processes is studied. Many widely used models for stochastic processes are of this type. In particular, sampling rules for which the ...
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