2019

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Estimators Under Stratified Ranked Set Sampling Using Auxiliary Information
(UMT.Lahore, 2019-02-22) Rahila Akhtar
In this thesis, exponential and ratio estimators have been proposed for estimating finite population mean, using the information form auxiliary variable, under stratified ranked set sampling design. In chapter 1, the simple random sampling, ranked set sampling and stratified ranked set sampling designs have been discussed. The types of ranking and modification of ranked set sampling with respect to exponential and ratio estimators have been given. The previous work relating to simple random sampling, ranked Set Sampling and stratified ranked set sampling has been given in chapter 2 along with the use of auxiliary information. Whereas Chapter 3 contains the estimators for the population mean which have been developed in ranked set sampling and simple random sampling. The proposed estimators are discussed in Chapter 4. The bias and mean square error expressions have been derived for the estimators under stratified ranked Set sampling. Simulation study based on Monte Carlo technique is conducted in chapter 5. The efficiency comparison of the proposed estimators with the competitor estimators are performed. It has been founded that the proposed estimators are more efficient than competitive estimators under simple random sampling and ranked set sampling design.