Published

2017-07-01

Entropy Estimation From Ranked Set Samples With Application to Test of Fit

Estimación de entropía de muestras de rango ordenado con aplicación a pruebas de ajuste

DOI:

https://doi.org/10.15446/rce.v40n2.58944

Keywords:

Judgment ranking, Goodness of fit test, Entropy estimation (en)
Bondad de ajuste, Estimación de entropía, Ranking de juicios (es)

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Authors

  • Ehsan Zamanzade Department of Statistics, University of Isfahan, Isfahan, Iran
  • Mahdi Mahdizadeh Hakim Sabzevari University
This article deals with entropy estimation using ranked set sampling (RSS). Some estimators are developed based on the empirical distribution function and its nonparametric maximum likelihood competitor. The suggested entropy estimators have smaller root mean squared errors than the other entropy estimators in the literature. The proposed estimators are then used to construct goodness of fit tests for inverse Gaussian distribution.
Este artículo trata sobre la estimación de entropía usando muestras de rango ordenado (RSS). Algunos estimadores se desarrollan con base en distribuciones empíricas y si estimación no paramétrica de máxima verosimilitud. Los estimadores de entropía sugeridos tienen menor raíz del error de cuadrados medios  que otros reportados en literatura. Los estimadores propuestos son usados para construir pruebas de bondad de ajuste para distribuciones inversas Gaussianas.

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How to Cite

Zamanzade, E., & Mahdizadeh, M. (2017). Entropy Estimation From Ranked Set Samples With Application to Test of Fit. Revista Colombiana De Estadística, 40(2), 223-241. https://doi.org/10.15446/rce.v40n2.58944

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