Calibration under measurement errors

The calibration technique is the process of adjusting weights for the better enhancement of the estimate of the population parameters using auxiliary information. In this manuscript, we have proposed ratio and regression type calibration estimators for the population mean under both correlated and u...

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Main Authors: Gajendra K. Vishwakarma, Abhishek Singh, Neha Singh
Format: Article
Language:English
Published: Elsevier 2020-10-01
Series:Journal of King Saud University: Science
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1018364720302275
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author Gajendra K. Vishwakarma
Abhishek Singh
Neha Singh
author_facet Gajendra K. Vishwakarma
Abhishek Singh
Neha Singh
author_sort Gajendra K. Vishwakarma
collection DOAJ
description The calibration technique is the process of adjusting weights for the better enhancement of the estimate of the population parameters using auxiliary information. In this manuscript, we have proposed ratio and regression type calibration estimators for the population mean under both correlated and uncorrelated measurement errors. The variances of the proposed calibrated estimators to the first order approximation are obtained and compared their efficiencies. A Monte Carlo simulation study has been carried out to show the effect of measurement errors on the proposed calibrated estimators.
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spelling doaj.art-fcef362841f24d01929bc374845169d22022-12-22T01:51:26ZengElsevierJournal of King Saud University: Science1018-36472020-10-0132729502961Calibration under measurement errorsGajendra K. Vishwakarma0Abhishek Singh1Neha Singh2Corresponding author.; Department of Mathematics & Computing, Indian Institute of Technology Dhanbad, Dhanbad 826004, Jharkhand, IndiaDepartment of Mathematics & Computing, Indian Institute of Technology Dhanbad, Dhanbad 826004, Jharkhand, IndiaDepartment of Mathematics & Computing, Indian Institute of Technology Dhanbad, Dhanbad 826004, Jharkhand, IndiaThe calibration technique is the process of adjusting weights for the better enhancement of the estimate of the population parameters using auxiliary information. In this manuscript, we have proposed ratio and regression type calibration estimators for the population mean under both correlated and uncorrelated measurement errors. The variances of the proposed calibrated estimators to the first order approximation are obtained and compared their efficiencies. A Monte Carlo simulation study has been carried out to show the effect of measurement errors on the proposed calibrated estimators.http://www.sciencedirect.com/science/article/pii/S1018364720302275Calibration estimationMeasurement errorsMonte Carlo
spellingShingle Gajendra K. Vishwakarma
Abhishek Singh
Neha Singh
Calibration under measurement errors
Journal of King Saud University: Science
Calibration estimation
Measurement errors
Monte Carlo
title Calibration under measurement errors
title_full Calibration under measurement errors
title_fullStr Calibration under measurement errors
title_full_unstemmed Calibration under measurement errors
title_short Calibration under measurement errors
title_sort calibration under measurement errors
topic Calibration estimation
Measurement errors
Monte Carlo
url http://www.sciencedirect.com/science/article/pii/S1018364720302275
work_keys_str_mv AT gajendrakvishwakarma calibrationundermeasurementerrors
AT abhisheksingh calibrationundermeasurementerrors
AT nehasingh calibrationundermeasurementerrors