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New inferential procedures for the geometric distribution, based on δ-records, are developed.Maximum likelihood and Bayesian approaches for parameter estimation and predictionof future records are considered. The performance of the estimators is compared withthose based solely on record-breaking data by means of Monte Carlo simulations, concludingthat the use of δ-records is clearly advantageous. An example using real data is alsodiscussed.Nota general

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Author: López, F. Javier; - Maldonado, Lina P.; - Gouet Bañares, Raúl; - Sanz, Gerardo; -

Source: http://repositorio.uchile.cl/



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