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    Estimation of Population Mean in Stratified Random Sampling: Searls Approach 

    Narupon Wongcharoensanti; Jirawan Jitthavech (NIDA, 9/26/18)

    This research proposes two new population mean estimators using the coefficient of variation in stratified random sampling without replacement. The first estimator without an auxiliary variable is developed from Searls estimator and the second estimator is a ratio estimator developed from Jirawan Jitthavech and Vichit Lorchirachoonkul ratio estimator. The conditions for the efficiency of the first proposed estimator higher than the conventional estimator without auxiliary variable and for the efficiency of the second proposed estimator higher ...