Minimum Divergence Estimators Based on Grouped Data
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References listed on IDEAS
- Menéndez, M. & Morales, D. & Pardo, L., 1997. "Maximum entropy principle and statistical inference on condensed ordered data," Statistics & Probability Letters, Elsevier, vol. 34(1), pages 85-93, May.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Gupta, A.K. & Nguyen, T. & Pardo, L., 2006. "Preliminary Phi-divergence test estimator for multinomial probabilities," Computational Statistics & Data Analysis, Elsevier, vol. 50(7), pages 1749-1773, April.
- Federico Bassetti & Eugenio Regazzini, 2005. "Asymptotic distribution and robustness of minimum total variation distance estimators," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1), pages 55-80.
- Bassetti, Federico & Bodini, Antonella & Regazzini, Eugenio, 2007. "Consistency of minimum divergence estimators based on grouped data," Statistics & Probability Letters, Elsevier, vol. 77(10), pages 937-941, June.
- Leorato, S., 2009.
"A refined Jensen's inequality in Hilbert spaces and empirical approximations,"
Journal of Multivariate Analysis,
Elsevier, vol. 100(5), pages 1044-1060, May.
- Samantha Leorato, 2008. "A refined Jensen’s inequality in Hilbert spaces and empirical approximations," CEIS Research Paper 134, Tor Vergata University, CEIS, revised 24 Nov 2008.
- Aylin Alin & Serdar Kurt, 2008. "Ordinary and penalized minimum power-divergence estimators in two-way contingency tables," Computational Statistics, Springer, vol. 23(3), pages 455-468, July.
More about this item
KeywordsMinimum divergence estimators; random quantization; asymptotic normality; efficiency; Fisher information; optimization;
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