Abstract
Abstract Horvitz and Thompson [3] have suggested for the estimation of population characteristic certain classes of linear estimators depending on weights associated with the sample observations, when a sample of size n is drawn without replacement using arbitrary probabilities of selection for each draw. However, it should be observed here, that there might not exist even a single linear unbiased estimator for the class which is termed an empty class. A situation arises where the minimum variance linear unbiased estimator for the non-empty class depends on the population values. In such a case, the criterion of the ‘necessary best estimator’ is proposed, in order to choose a serviceable estimator purely from the practical point of view. This is illustrated by one of the classes of linear estimators (T5).
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