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ABSTRACT This paper studies the likelihood ratio ordering of parallel systems under multiple-outlier models. We introduce a partial order, the so-called θ-order, and show that the θ-order between the parameter… Click to show full abstract
ABSTRACT This paper studies the likelihood ratio ordering of parallel systems under multiple-outlier models. We introduce a partial order, the so-called θ-order, and show that the θ-order between the parameter vectors of the parallel systems implies the likelihood ratio order between the systems.
Keywords:
order;
likelihood ratio;
parallel systems;
outlier models;
systems multiple;
multiple outlier
Journal Title: Communications in Statistics - Theory and Methods
Year Published: 2018
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Journal Title: Communications in Statistics - Theory and Methods
Year Published: 2018
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!