2019

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Browsing 2019 by Author "ASMA MASOOD MALIK"

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    Generalized regression-exponential type ratio-product estimators
    (UMT.Lahore, 2019) ASMA MASOOD MALIK
    In this thesis, Generalized regression-exponential type ratio-product estimators under Simple Random and Ranked Set Sampling have been proposed for estimating finite population mean, using the information form auxiliary variable, under simple random sampling, ranked set sampling and median ranked set sampling. In chapter 1, the simple random sampling, ranked set sampling and median ranked set sampling designs have been discussed. The types of ranking and modification of ranked set sampling with respect to exponential, ratio, regression and product estimators have been given. The previous work related to simple random sampling, ranked Set Sampling and median ranked set sampling has been given in proceeding chapter along with the use of auxiliary information. Whereas Chapter 3 contains the existing estimators for the population mean which has been developed in simple random sampling, ranked set sampling and median ranked set sampling. In Chapter 4 the bias and mean square error expressions have been derived for the estimator under in simple random sampling, ranked set sampling and median ranked set sampling. In chapter 5 empirical studies were conducted. In which Four populations were taken from “vincentarelbundock”. i.e. Crohn's disease data, performance of computer CPU, Auto dataset, and Morphological Measurements on Leptograpsus Crabs. From which we ensured proposed estimator under simple random sampling, ranked set sampling and median ranked sampling are highly efficient than existing estimators (Cochran (1977), Mohanty (1967), Samawi (1996), Muttlak (2000), Hanif and samiuddin (2006) chain ratio estimator 1 and 2, Hanif and samiuddin (2006) regression-ratio-product estimator I,II,III, Hanif et al (2009), and Gajendra (2017)). Especially estimator under median ranked set sampling.