1. Eestimation of mean of rare and clustered population using edge units in the networks
Authors : Jayant Kshirsagar, Sharad Gore
Pages : 580-585
Keywords : Keywords: ACS, Network sampling, edge unit, inclusion probability, Hansen – Hurwitz type estimator, Horwitz - Thompson type estimator. Abstract :
Adaptive cluster sampling (ACS) can provide efficient unbiased estimators of population mean and population total of rare and clustered population (see Thompson and Seber, 1996). These estimators are based on the networks that consider the unit not satisfying the predefined condition as the edge units. These edge units are identified during the adaptation stage, when the initial sample is expanded around sampling units that satisfy predefined condition.In this paper, we propose two new estimators of the population mean based on the networks that consider the units satisfying the predefined condition as the edge units. These edge units are identified during adaptation stage when the initial sample is expanded around sampling units that do not satisfy the predefined condition. The proposed estimators use these edge units in the estimation procedure. We have obtained unbiased estimators of the variances of these new estimators. The efficiencies of the new estimators are compared with those of Hansen- Hurwitz type estimator and Horvitz- Thompson type estimator using real life data.
Citing this Journal Article :Jayant Kshirsagar, Sharad Gore, "Eestimation of mean of rare and clustered population using edge units in the networks ", Volume 6 Issue 4 - March 2016, 580-585
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