Publication:
A Family of Estimators for Population Mean Under Model Approach in Presence of Non-Response

Simple item page
dc.contributor.authorSingh, Ajeet Kumar
dc.contributor.authorSingh, V.K.
dc.date.accessioned2025-01-27T10:09:04Z
dc.date.available2025-01-27T10:09:04Z
dc.date.issued2022
dc.description.abstractWe have defined a class of estimators for population mean under nonresponse error based upon the concept of sub-sampling of non-respondents utilizing an auxiliary variable. The class is a one-parameter class of estimators which is based on the idea of exponential type estimators (ETE). The model biasness and model-mean square error of the class and some of its important members have been derived under polynomial regression model (PRM). The effect of variations in PRM specifications on the efficiency of the estimators has been discussed based upon the empirical results. � 2022 River Publishers.
dc.identifier.doihttps://doi.org/10.13052/jrss0974-8024.1511
dc.identifier.issn22295666
dc.identifier.urihttps://dl.bhu.ac.in/ir/handle/123456789/14225
dc.publisherRiver Publishers
dc.subjectFamilies of estimators
dc.subjectMean square error
dc.subjectNon-response
dc.subjectPolynomial regression model
dc.titleA Family of Estimators for Population Mean Under Model Approach in Presence of Non-Response
dc.typeArticle
dspace.entity.typePublication
journal.titleJournal of Reliability and Statistical Studies
journalvolume.identifier.volume15

Files

Collections

2022