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Authordc.contributor.authorGouet Bañares, Raúl es_CL
Authordc.contributor.authorLópez, F. Javier es_CL
Authordc.contributor.authorMaldonado, Lina P. 
Authordc.contributor.authorSanz, Gerardo es_CL
Cita de ítemdc.identifier.citationComputational Statistics and Data Analysis 78 (2014) 21–32en_US
General notedc.descriptionArtículo de publicación ISIen_US
Abstractdc.description.abstractNew inferential procedures for the geometric distribution, based on δ-records, are developed. Maximum likelihood and Bayesian approaches for parameter estimation and prediction of future records are considered. The performance of the estimators is compared with those based solely on record-breaking data by means of Monte Carlo simulations, concluding that the use of δ-records is clearly advantageous. An example using real data is also discussed.en_US
Patrocinadordc.description.sponsorshipSupport is thankfully acknowledged from project PFB-03-CMM, FONDECYT grant 1120408 and MINECO project MTM2010-15972. The third author gratefully acknowledges support from a Gran Mariscal de Ayacucho Foundation grant (Venezuela) E-228-239-2007-1.en_US
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile*
Link to Licensedc.rights.uri*
Títulodc.titleStatistical inference for the geometric distribution based on δ-recordsen_US
Document typedc.typeArtículo de revista

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Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile