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

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 es...

Full description

Autores:
Zamanzade, Ehsan
Mahdizadeh, Mahdi
Tipo de recurso:
Article of journal
Fecha de publicación:
2017
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/66496
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/66496
http://bdigital.unal.edu.co/67524/
Palabra clave:
51 Matemáticas / Mathematics
31 Colecciones de estadística general / Statistics
Judgment ranking
Goodness of fit test
Entropy estimation
Bondad de ajuste
Estimación de entropía
Ranking de juicios
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
Description
Summary: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.