The parameters of probability distributions under partial order restrictions are usually estimated by maximum likelihood estimates(MLE) and formulated as a maximization problem with a multimodal objective function sub...The parameters of probability distributions under partial order restrictions are usually estimated by maximum likelihood estimates(MLE) and formulated as a maximization problem with a multimodal objective function subject to partial order restrictions. In order to obtain the global optimal estimation of parameters, this paper presents a genetic algorithm and illustrates its effectiveness by some numerical examples.展开更多
文摘The parameters of probability distributions under partial order restrictions are usually estimated by maximum likelihood estimates(MLE) and formulated as a maximization problem with a multimodal objective function subject to partial order restrictions. In order to obtain the global optimal estimation of parameters, this paper presents a genetic algorithm and illustrates its effectiveness by some numerical examples.
