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Article . 1985 . Peer-reviewed
License: Springer TDM
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Regular estimators for subclasses of linear estimators

Authors: Prabhu-Ajgaonkar, S.G.;

Regular estimators for subclasses of linear estimators

Abstract

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''.

Country
Germany
Keywords

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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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green