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</script>doi: 10.1007/bf01897817
The concept of regular estimator is due to \textit{J. Roy} and \textit{I. M. Chakravarti} [Ann. Math. Stat. 31, 392-398 (1960; Zbl 0093.158)]. For simple random sampling with or without replacement, regular estimators exist in the \(T_ 1\)-class of linear estimators. However, for sampling with varying probabilities, a regular estimator does not exist in the \(T_ 1\), \(T_ 2\) and \(T_ 3\) classes of linear estimators. A regular estimator exists in the \(T_ 4\) class of linear estimators, if the sampling scheme is ''balanced''.
regular estimator, Ikeda-Sen's sampling scheme, Article, simple random sampling, 510.mathematics, classes of linear estimators, balanced sampling scheme, Sampling theory, sample surveys, Horvitz-Thompson estimator, sampling with varying probabilities
regular estimator, Ikeda-Sen's sampling scheme, Article, simple random sampling, 510.mathematics, classes of linear estimators, balanced sampling scheme, Sampling theory, sample surveys, Horvitz-Thompson estimator, sampling with varying probabilities
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