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Statistical inference for the geometric distribution based on δ-records

Gouet Bañares, Raúl et al · Elsevier · 2014

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Universidad de Chile Universidad de Chile OAI-PMH
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Artículo de publicación ISI New 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. Support 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.

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APA 7

Gouet Bañares, R. E. A. (2014). Statistical inference for the geometric distribution based on δ-records. https://doi.org/10.1016/j.csda.2014.04.002

MLA

Gouet Bañares, Raúl et al. "Statistical inference for the geometric distribution based on δ-records." 2014. https://doi.org/10.1016/j.csda.2014.04.002.

Chicago

Gouet Bañares, Raúl et al. 2014. "Statistical inference for the geometric distribution based on δ-records.". https://doi.org/10.1016/j.csda.2014.04.002.

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Gouet Bañares, R. E. A. 2014, Statistical inference for the geometric distribution based on δ-records, Elsevier, available at: https://doi.org/10.1016/j.csda.2014.04.002 [Accessed 8 Aug. 2026].

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Title
Statistical inference for the geometric distribution based on δ-records
Author / contributors
Gouet Bañares, Raúl et al
Publisher
Elsevier
Publication year
2014
Language
English

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