Using ORRT Models for Mean Estimation under Nonresponse and Measurement Errors in Stratified Successive Sampling

In the context of a sample survey, the collection of information on a sensitive variable is difficult, which may cause nonresponse and measurement errors. Due to this, the estimates can be biased and the variation may increase. To overcome this difficulty, we propose an estimator for the estimation...

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Main Authors: Monica Choudhary, Sanam Preet Kour, Sunil Kumar, Carlos N. Bouza, Agustín Santiago
Format: Article
Language:English
Published: Hindawi Limited 2023-01-01
Series:Journal of Probability and Statistics
Online Access:http://dx.doi.org/10.1155/2023/1340068
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author Monica Choudhary
Sanam Preet Kour
Sunil Kumar
Carlos N. Bouza
Agustín Santiago
author_facet Monica Choudhary
Sanam Preet Kour
Sunil Kumar
Carlos N. Bouza
Agustín Santiago
author_sort Monica Choudhary
collection DOAJ
description In the context of a sample survey, the collection of information on a sensitive variable is difficult, which may cause nonresponse and measurement errors. Due to this, the estimates can be biased and the variation may increase. To overcome this difficulty, we propose an estimator for the estimation of a sensitive variable by using auxiliary information in the presence of nonresponse and measurement errors simultaneously. The properties of the proposed estimators have been studied, and the results have been compared with those of the usual complete response estimator. Theoretical results have been verified through a simulation study using an artificial population and two real-life applications. With the outcomes of the proposed estimator, a suitable recommendation has been made to the survey statisticians for their real-life application.
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spelling doaj.art-426a3f2f8589486d9dfc715b0176acbe2023-03-07T11:58:32ZengHindawi LimitedJournal of Probability and Statistics1687-95382023-01-01202310.1155/2023/1340068Using ORRT Models for Mean Estimation under Nonresponse and Measurement Errors in Stratified Successive SamplingMonica Choudhary0Sanam Preet Kour1Sunil Kumar2Carlos N. Bouza3Agustín Santiago4Department of StatisticsDepartment of StatisticsDepartment of StatisticsUniversidad de La HabanaUniversidad Autónoma de GuerreroIn the context of a sample survey, the collection of information on a sensitive variable is difficult, which may cause nonresponse and measurement errors. Due to this, the estimates can be biased and the variation may increase. To overcome this difficulty, we propose an estimator for the estimation of a sensitive variable by using auxiliary information in the presence of nonresponse and measurement errors simultaneously. The properties of the proposed estimators have been studied, and the results have been compared with those of the usual complete response estimator. Theoretical results have been verified through a simulation study using an artificial population and two real-life applications. With the outcomes of the proposed estimator, a suitable recommendation has been made to the survey statisticians for their real-life application.http://dx.doi.org/10.1155/2023/1340068
spellingShingle Monica Choudhary
Sanam Preet Kour
Sunil Kumar
Carlos N. Bouza
Agustín Santiago
Using ORRT Models for Mean Estimation under Nonresponse and Measurement Errors in Stratified Successive Sampling
Journal of Probability and Statistics
title Using ORRT Models for Mean Estimation under Nonresponse and Measurement Errors in Stratified Successive Sampling
title_full Using ORRT Models for Mean Estimation under Nonresponse and Measurement Errors in Stratified Successive Sampling
title_fullStr Using ORRT Models for Mean Estimation under Nonresponse and Measurement Errors in Stratified Successive Sampling
title_full_unstemmed Using ORRT Models for Mean Estimation under Nonresponse and Measurement Errors in Stratified Successive Sampling
title_short Using ORRT Models for Mean Estimation under Nonresponse and Measurement Errors in Stratified Successive Sampling
title_sort using orrt models for mean estimation under nonresponse and measurement errors in stratified successive sampling
url http://dx.doi.org/10.1155/2023/1340068
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