抽样理论中的积型指数法缺失数据的补全

Q3 Mathematics Revista Colombiana De Estadistica Pub Date : 2023-01-01 DOI:10.15446/rce.v46n1.102308

Shakti Prasad, Vinay Kumar Yadav

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引用次数: 1

摘要

针对抽样理论中存在的不完全值问题，提出了几种有效的积型指数归算方法。为了研究所提出的指数方法的有效性，比较了考虑的估计器在两种情况下的行为:有和没有无响应。仿真研究表明，所提出的估计器优于文献中已有的估计器。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Imputation of Missing Data Through Product Type Exponential Methods in Sampling Theory

Some efficient product type exponential imputation methods are proposed in this article to tackle the problem of incomplete values in sampling theory. To investigate the effectiveness of proposed exponential methods, the behaviours of the considered estimators are compared in two scenarios: with and without nonresponse. The simulation studies show that the proposed resultant estimators outperform other existing estimators in this literature.

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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.