Statistical inference for the geometric distribution based on δ-records
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DOI: 10.1016/j.csda.2014.04.002
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References listed on IDEAS
- Gouet, Raúl & Javier López, F. & Sanz, Gerardo, 2008. "Laws of large numbers for the number of weak records," Statistics & Probability Letters, Elsevier, vol. 78(14), pages 2010-2017, October.
- Sultan, K.S. & AL-Dayian, G.R. & Mohammad, H.H., 2008. "Estimation and prediction from gamma distribution based on record values," Computational Statistics & Data Analysis, Elsevier, vol. 52(3), pages 1430-1440, January.
- Soliman, Ahmed A. & Abd Ellah, A.H. & Sultan, K.S., 2006. "Comparison of estimates using record statistics from Weibull model: Bayesian and non-Bayesian approaches," Computational Statistics & Data Analysis, Elsevier, vol. 51(3), pages 2065-2077, December.
- Raúl Gouet & F. López & Gerardo Sanz, 2012. "On δ-record observations: asymptotic rates for the counting process and elements of maximum likelihood estimation," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(1), pages 188-214, March.
- Enkelejd Hashorva & Alexei Stepanov, 2012. "Limit theorems for the spacings of weak records," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 75(2), pages 163-180, February.
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- Stepanov, A. V. & Balakrishnan, N. & Hofmann, Glenn, 2003. "Exact distribution and Fisher information of weak record values," Statistics & Probability Letters, Elsevier, vol. 64(1), pages 69-81, August.
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Cited by:
- Fernando López-Blázquez & Begoña Salamanca-Miño, 2015. "Distribution theory of $$\delta $$ δ -record values: case $$\delta \ge 0$$ δ ≥ 0," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 24(3), pages 558-582, September.
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Keywords
δ-records; Geometric distribution; Maximum likelihood estimation; Bayes estimation; Empirical Bayes; Maximum likelihood prediction; Bayes prediction;All these keywords.
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