Calibrated linear unbiased estimators in finite population sampling |
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Authors: | T.J. Rao S. Sengupta |
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Affiliation: | 1. Indian Statistical Institute, Kolkata, India and C.R. Rao AIMSCS, Hyderabad, India;2. Calcutta University, Kolkata, India |
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Abstract: | Sugden and Smith [2002. Exact linear unbiased estimation in survey sampling. J. Stat. Plann. Inf. 102, 25–38] and Rao [2002. Discussion of “Exact linear unbiased estimation in survey sampling”. J. Stat. Plann. Inf. 102, 39–40] suggested some useful techniques of deriving a linear unbiased estimator of a finite population total by modifying a given linear estimator. In this paper we suggest various generalizations of their results. In particular, we search for estimators satisfying the calibration property with respect to a related auxiliary variable and obtain some new calibrated unbiased ratio-type estimators for arbitrary sampling designs. We also explore a few properties of one of the estimators suggested in Sugden and Smith [2002. Exact linear unbiased estimation in survey sampling. J. Stat. Plann. Inf. 102, 25–38]. |
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Keywords: | General linear estimator Exact unbiasedness Calibration property Ratio-type estimators Admissibility Non-negative variance estimation |
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