排序集样本的熵估计及其在拟合检验中的应用

Q3 Mathematics

Revista Colombiana De Estadistica Pub Date : 2017-07-01 DOI:10.15446/RCE.V40N2.58944

Revista Colombiana de Estadstica, Ehsan Zamanzade, M. Mahdizadeh

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引用次数: 23

摘要

本文讨论使用排序集抽样(RSS)进行熵估计。基于经验分布函数及其非参数极大似然竞争者，提出了一些估计量。建议的熵估计器比文献中其他熵估计器具有更小的均方根误差。然后利用所提出的估计量构造逆高斯分布的拟合优度检验。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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 estimators in the literature. The proposed estimators are then used to construct goodness of fit tests for inverse Gaussian distribution.

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来源期刊

Revista Colombiana De Estadistica STATISTICS & PROBABILITY-

CiteScore

1.20

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： The Colombian Journal of Statistics publishes original articles of theoretical, methodological and educational kind in any branch of Statistics. Purely theoretical papers should include illustration of the techniques presented with real data or at least simulation experiments in order to verify the usefulness of the contents presented. Informative articles of high quality methodologies or statistical techniques applied in different fields of knowledge are also considered. Only articles in English language are considered for publication. The Editorial Committee assumes that the works submitted for evaluation have not been previously published and are not being given simultaneously for publication elsewhere, and will not be without prior consent of the Committee, unless, as a result of the assessment, decides not publish in the journal. It is further assumed that when the authors deliver a document for publication in the Colombian Journal of Statistics, they know the above conditions and agree with them.