Bayes estimation of prediction intervals for a power law process (Articolo in rivista)

Type
Label
  • Bayes estimation of prediction intervals for a power law process (Articolo in rivista) (literal)
Anno
  • 1990-01-01T00:00:00+01:00 (literal)
Alternative label
  • Calabria R., Guida M., Pulcini G. (1990)
    Bayes estimation of prediction intervals for a power law process
    in Communications in statistics. Theory and methods
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Calabria R., Guida M., Pulcini G. (literal)
Pagina inizio
  • 3023 (literal)
Pagina fine
  • 3035 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 19 (literal)
Rivista
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Istituto Motori, CNR, Napoli. (literal)
Titolo
  • Bayes estimation of prediction intervals for a power law process (literal)
Abstract
  • Given the first n successive occurence times from a non-homogeneous Poisson process with a power-law intensity function, Bayes prediction intervals for future observations are derived. A Bayesian approach is compared, via Monte Carlo simulation, with a classical one, taking into account several factors, such as prior information, sample size and true values of process parameters. It is found that the Bayesian procedure generally attains sensibly better performances even when there is little prior information available. (literal)
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