Abstract
Point prediction of future record values from a sequence of independent and identically distributed Pareto and Lomax random variables is addressed. The focus is on likelihood-based prediction techniques; in particular, the maximum likelihood as well as the maximum observed likelihood prediction principles are invoked to derive predictors. Pitman closeness criterion is used for comparing the prediction procedures, which are applied to real data. Moreover, one-sided prediction intervals are also addressed.
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