Calibration approach-based estimator of population total under successive sampling design

dc.contributor.authorRai P.K.
dc.contributor.authorTiwari S.
dc.contributor.authorAlka
dc.date.accessioned2025-01-13T07:08:14Z
dc.date.available2025-01-13T07:08:14Z
dc.date.issued2024
dc.description.abstractThe present article deals with the estimation of the finite population total on two occasions using a calibration approach. The estimators from different approaches on two successive occasions using calibration technique are obtained. Some of the properties of proposed estimators are also provided, including optimum composite weights and their sensitivity interval. An empirical study has been carried out using real data for numerical illustration to show the efficiency of the proposed calibrated estimator. In addition, a simulation study is also performed where proposed estimators are found to be more efficient than the other existing traditional estimators for different choices of tuning weights and composite weights under various sample proportions. � 2024 Taylor & Francis Group, LLC.
dc.identifier.doi10.1080/03610926.2024.2389955
dc.identifier.issn3610926
dc.identifier.urihttps://dl.bhu.ac.in/ir/handle/123456789/3117
dc.language.isoen
dc.publisherTaylor and Francis Ltd.
dc.subjectAuxiliary information
dc.subjectcalibration estimator
dc.subjectcomposite estimator
dc.subjectsuccessive sampling
dc.titleCalibration approach-based estimator of population total under successive sampling design
dc.typeArticle
journal.titleCommunications in Statistics - Theory and Methods

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