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December 7, 2020Open access jounrals

On the class of exponential-type imputation estimators of population mean with known population mean of auxiliary variable

Ahmed Audu Olatunji Olawoyin Ishaq U. Isah S. Muhammed K. A. Akintola Abdulrahman Rashida Adamu Abdul Abubakar

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Key Points

The aim is to evaluate a new class of exponential-type imputation estimators for estimating population means.
Developed estimators based on known population means of auxiliary variables.
Derived theoretical properties of the proposed estimators.
Conducted simulations to evaluate performance.
Proposed estimators show improved accuracy over traditional methods.
Simulation results indicate lower bias in estimations using exponential-type methods.
Effectiveness is consistent across various population distributions.

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Implication

Explores exponential-type imputation estimators to calculate population mean, indicating potential improvements in accuracy.

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Cite This Study

Audu et al. (2020) studied this question.

synapsesocial.com/papers/6a1cb3e05a7763abe789a0b3 https://doi.org/10.37933/nipes/2.4.2020.1

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