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Estimation of Finite Population Mean under Stratified Adaptive Cluster Sampling using Calibration Approach |
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PP: 151-159 |
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doi:10.18576/jsapl/100303
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Author(s) |
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Menakshi Pachori,
Neha Garg,
Anant Patel,
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Abstract |
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| The paper puts forward the calibrated estimators of finite population mean under stratified adaptive cluster sampling technique. The paper proceeds with application the mean and logarithmic mean of the available auxiliary information in defining the calibration constraints to obtain the proposed calibration estimators in the scenario of stratified adaptive cluster sampling. The expressions of mean squared errors of the suggested estimators have been derived and compared with the traditionally combined ratio estimator as well as other existing estimators. The obtained results have been compared with the help of a simulation study conducted on a data which comprise of simulated values of X and Y variables using R-software.
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