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Modified principal component calibration estimator in survey sampling

Author(s)
Muhammad Ahmed Shehzad Department of Statistics, Bahauddin Zakariya University Multan, Pakistan
Haris Khurram Department of Sciences and Humanities, National University of Computer and Emerging Sciences, CFD, Pakistan
Sharqa Hashmi Govt. Jinnah Associate Collage for Women, Lahore, Pakistan
Adnan Bashir Department of Statistics, Bahauddin Zakariya University Multan, Pakistan
Ayesha Niaz Department of Statistics, Bahauddin Zakariya University Multan, Pakistan
Abstract
In this article, a modified principal component calibration estimator is proposed by using second moments of principal components for estimating the population total in survey sampling using simple random sampling. A simulation scheme and real-life example are used to evaluate the performance of the proposed estimator. The new estimator is more efficient and reduces bias as compared to the conventional principal component calibration estimator.
Publication Details
Page(s) 457-468
DOI DOI not available
Published Journal: Pakistan Journal of Statistics, Volume: 39, Issue: 4, Year: 2023

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Keywords
Moments, Survey sampling, Calibration Estimator, Principal Component Calibration, Second Order Moments Calibration.
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