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  1. Article: Enhanced exponential ratio-cum-ratio estimator in ranked set sampling using transformed auxiliary information.

    Khan, Lakhkar / Ahmad, Sohaib / Alomair, Abdullah Mohammed / Alomair, Mohammed Ahmed

    Heliyon

    2024  Volume 10, Issue 6, Page(s) e27522

    Abstract: Estimation of population mean is a determined subject issue in sampling surveys and many efforts have been paid by various researchers to enhance the precision of the estimates by utilizing the correlated auxiliary information. In connection with this, ... ...

    Abstract Estimation of population mean is a determined subject issue in sampling surveys and many efforts have been paid by various researchers to enhance the precision of the estimates by utilizing the correlated auxiliary information. In connection with this, we suggest an improved exponential ratio-cum-ratio estimator using transformed auxiliary variables under ranked set sampling scheme. Theoretical comparison between estimators is made in terms of mean square errors (
    Language English
    Publishing date 2024-03-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e27522
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Improved exponential type mean estimators for non-response case using two concomitant variables in simple random sampling.

    Hussain, Mujeeb / Zaman, Qamruz / Khan, Lakhkar / Metawa, A E / Awwad, Fuad A / Ismail, Emad A A / Wasim, Danish / Ahmad, Hijaz

    Heliyon

    2024  Volume 10, Issue 6, Page(s) e27535

    Abstract: This paper addresses new exponential estimators for population mean in case of non-response on both the study and the concomitant variables using simple random sampling. The expressions for theoretical bias and mean square error of new estimators are ... ...

    Abstract This paper addresses new exponential estimators for population mean in case of non-response on both the study and the concomitant variables using simple random sampling. The expressions for theoretical bias and mean square error of new estimators are derived up to first-order approximation and comparisons are made with the existing estimators. The proposed estimators are observed more efficient as compared to the considered estimators in the literature. For instance, the classical [4] unbiased estimator, the estimator of [9], and other existing estimators under the explained conditions. The theoretical results are supported numerically by using real-life data sets, under the criteria of bias, mean square error, percent relative efficiency and mathematical conditions. It is also clear from the numerical results that the suggested exponential estimators performed better than the estimators in the literature.
    Language English
    Publishing date 2024-03-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e27535
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

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