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Improvement of modified ratio estimators using robust regression methods

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  • Zaman, Tolga

Abstract

The paper proposes some estimators for the population mean using robust regression methods presented in Zaman and Bulut (2018) [6] and shows that all proposed estimators more efficient than the robust ratio estimators under all conditions. This result is also supported by a numerical example.

Suggested Citation

  • Zaman, Tolga, 2019. "Improvement of modified ratio estimators using robust regression methods," Applied Mathematics and Computation, Elsevier, vol. 348(C), pages 627-631.
    • Handle: RePEc:eee:apmaco:v:348:y:2019:i:c:p:627-631
    DOI: 10.1016/j.amc.2018.12.037
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    Cited by:

    1. Shashi Bhushan & Anoop Kumar & Amer Ibrahim Al-Omari & Ghadah A. Alomani, 2023. "Mean Estimation for Time-Based Surveys Using Memory-Type Logarithmic Estimators," Mathematics, MDPI, vol. 11(9), pages 1-14, April.
    2. Usman Shahzad & Ishfaq Ahmad & Amelia V. García-Luengo & Tolga Zaman & Nadia H. Al-Noor & Anoop Kumar, 2023. "Estimation of Coefficient of Variation Using Calibrated Estimators in Double Stratified Random Sampling," Mathematics, MDPI, vol. 11(1), pages 1-17, January.

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