Models for survey nonresponse and bias adjustment techniques

Q4 Mathematics

Statistics in Transition Pub Date : 2023-06-13 DOI:10.59170/stattrans-2023-040

H. O. Ayhan

引用次数: 0

Abstract

Survey statisticians have been dealing with the issues of nonresponse in sample surveys for many years. Due to the complex nature of the mechanism, so far it has not been easy to find a general solution to this problem. In this paper, several aspects of this topic will be elaborated on: the survey unit nonresponse bias has been examined alternatively by taking response amounts which are fixed initially and also by taking the response amounts as random variables. An overview of the components of the bias due to nonresponse will be performed. Nonresponse bias components are illustrated for each alternative approach and the amount of bias was computed for each case.

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调查无响应和偏差调整技术模型

调查统计学家多年来一直在处理抽样调查中的无回复问题。由于机制的复杂性，到目前为止，要找到这个问题的一般解决方案并不容易。在本文中，将详细阐述该主题的几个方面：通过采用最初固定的响应量和将响应量作为随机变量，交替检查了调查单位的无响应偏差。将对因无应答而产生的偏差的组成部分进行概述。说明了每种替代方法的无响应偏差分量，并计算了每种情况的偏差量。

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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来源期刊

Statistics in Transition Decision Sciences-Statistics, Probability and Uncertainty

CiteScore

1.00

自引率

0.00%

发文量

审稿时长

9 weeks

期刊介绍： Statistics in Transition (SiT) is an international journal published jointly by the Polish Statistical Association (PTS) and the Central Statistical Office of Poland (CSO/GUS), which sponsors this publication. Launched in 1993, it was issued twice a year until 2006; since then it appears - under a slightly changed title, Statistics in Transition new series - three times a year; and after 2013 as a regular quarterly journal." The journal provides a forum for exchange of ideas and experience amongst members of international community of statisticians, data producers and users, including researchers, teachers, policy makers and the general public. Its initially dominating focus on statistical issues pertinent to transition from centrally planned to a market-oriented economy has gradually been extended to embracing statistical problems related to development and modernization of the system of public (official) statistics, in general.