Browsing by Author "Amoyedo, F. E."

Now showing 1 - 2 of 2
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    IMPROVED MODIFIED RATIO ESTIMATOR FOR ESTIMATING POPULATION MEAN IN DOUBLE SAMPLING USING INFORMATION ON AUXILIARY ATTRIBUTE
    (Anale. Seria Informatică, 2019) Amoyedo, F. E.; Adewara, A. A.
    This paper proposes a modified family of ratio estimator of population mean using information on auxiliary attribute and the estimation of population mean in double sampling in ratio form. The proposed modified ratio estimator is a family of estimator which results to different estimators at different value of alpha. For the proposed estimator, when 𝛼 = 0, 0.5 and 1, the estimators of Naik and Gupta (1996), Nirmala Sawan (2010) and Sample mean were recovered respectively. When the auxiliary attribute is a variable, the estimator result to that of Subhash et al. (2016). When α = 0 and the auxiliary attribute is a variable, it results to conventional double sampling. The expression for the Bias, and Mean Square Error of the proposed modified estimator were obtained up to the first order of approximation. An efficiency comparison of both the theoretical and empirical was carried out with some related existing estimators in double sampling. It has been established that the proposed modified ratio estimator is more efficient when compared with the existing ones at optimum value of alpha
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    MODIFIED RATIO-CUM-PRODUCT ESTIMATORS OF POPULATION MEAN IN LINEAR SYTEMATIC SAMPLING UNDER TWO-PHASE SAMPLING SCHEME
    (FUW Trends in Science & Technology Journal, 2019) Abioye, J. O.; Adewara, A. A.; Audu, A.; Amoyedo, F. E.
    This paper is basically aimed at suggesting two modified ratio-cum-product estimators having two auxiliary variables, under the linear systematic sampling. These suggested ratio-cum-product modified estimators under the two-phase sampling scheme were suggested using linear transformation technique, the biases and mean squared errors (MSEs) of the corresponding modified estimators under cases I and II were derived and established (where Case I refers to the case whereby the second sample is drawn from the first sample and Case II refers to the case whereby the second sample is drawn from the main population under study), the efficiency conditions under which the two modified estimators would be more efficient than relative existing ones were derived and established and the relative efficiency of these modified estimators were empirically determined and established using five real life data sets which were obtained from various sources. From the results of the empirical study using real life data sets, it was concluded that the suggested modified estimators in this study demonstrated high relative efficiency over existing related estimators