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akaturk Akademik ölçüm

OpenAlex konusu

Census and Population Estimation

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 90 eser 1 yazar konusu

Çalışmalar

90 eser

  1. YÖKSİS JCR Q2 OpenAlex 85.6%

    In this article, we propose a family of exponential ratio estimators for the estimation of the population mean of the study variable using the information of the population proportion possessing the certain attributes. We obtain the mean squared error (MSE) equations for all proposed ratio exponential estimators and f…

  2. YÖKSİS SJR Q1 JCR Q2 OpenAlex 77.9%

    BACKGROUND: According to the surveillance system in Turkey, most diseases are notified only by clinicians, without involving laboratory notification. It is assumed that a considerable inadequacy in notifications exists; however, this has not been quantified by any researcher. Our aim was to evaluate the completeness o…

  3. YÖKSİS SJR Q3 JCR Q3 OpenAlex 84.9%

    Until now, various types of estimators have been used for estimating the population variance in simple random sampling studies, including ratio, product, regression and exponential-type estimators. In this article, we propose a family of -type estimators for the first time in the simple random sampling and show that t…

  4. YÖKSİS SJR Q3 JCR Q3 OpenAlex üst %10 OpenAlex 91.5%

    Summary In this study, ratio estimators are proposed by utilizing some robust techniques to get the maximum benefit of the auxiliary variable for the estimation of the population mean in simple random sampling. The expressions for mean squared error are derived for the first degree of approximation. Theoretical compar…

  5. YÖKSİS SJR Q2 JCR Q2 OpenAlex 79.5%

    In this paper, we have proposed an estimator of finite population mean in stratified random sampling. The expressions for the bias and mean square error of the proposed estimator are obtained up to the first order of approximation. It is found that the proposed estimator is more efficient than the traditional mean, ra…

  6. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 97.5%

    This paper offers a novel approach to formulate efficient ratio estimator of the population variance using a transformed auxiliary variable. The impact of transformation on auxiliary information has also been discussed. It is observed that incorporating a transformed auxiliary variable result in a high gain in efficie…

  7. YÖKSİS SJR Q3 JCR Q3 OpenAlex 75.0%

    This paper proposes new regression estimators in median ranked set and neoteric ranked set sampling using one and two auxiliary variables. The proposed estimators have large gain in presicion compared to the classical ranked set sampling (RSS) design. A simulation study is designed to see the performance of suggested…

  8. YÖKSİS SJR Q4 OpenAlex 51.6%

    This article proposes some estimators based on an adaptation of the estimators developed by Bahl and Tuteja [1], Diana [2], Koyuncu and Kadilar [3], Koyuncu and Kadilar [4], Shabbir and Gupta [5], and Koyuncu [6] utilizing available supplementry attributes.Further, a new family of estimators is also developed by adapt…

  9. YÖKSİS OpenAlex 61.5%

    Cernek - a new bird ringing station in Turkey A new Turkish bird ringing station - Cernek, was launched on 22 March 2002 under the auspices of the SE European Bird Migration Network (SEEN). This paper provides information about the location and biotopes of the station, methodology used in its work, species composition…

  10. YÖKSİS SJR Q2 JCR Q3 OpenAlex 66.7%

    Our main objective was to establish the population size, density, body size, and sex ratio of a local Emys orbicularis population. We examined the population structure of E. orbicularis in Lake Yayla, Buldan (Denizli), Turkey, using capture-recapture methods. The population consisted of 54% males, 42% females, and 4%…

  11. YÖKSİS SJR Q3 JCR Q4 OpenAlex 12.9%

    We propose separate ratio estimators for population variance in stratified random sampling. We obtain mean square error equations and compare proposed estimators about efficiency with each other. By these comparisons, we find the conditions which make proposed estimators more efficient than others. It has been shown t…

  12. YÖKSİS SJR Q3 OpenAlex 69.8%

    Özet henüz yok.

Akademisyenler

1 akademisyen