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ON VARIANCE ESTIMATION IN UNEQUAL PROBABILITY SAMPLING 1
Author(s) -
Kumar Pranesh,
Gupta V. K.,
Agarwal S. K.
Publication year - 1985
Publication title -
australian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.434
H-Index - 41
eISSN - 1467-842X
pISSN - 0004-9581
DOI - 10.1111/j.1467-842x.1985.tb00562.x
Subject(s) - estimator , statistics , variance (accounting) , minimum variance unbiased estimator , bias of an estimator , point estimation , mathematics , econometrics , stability (learning theory) , consistent estimator , estimation , efficient estimator , computer science , economics , machine learning , accounting , management
Summary The purpose of this article is to propose a model‐based estimator of the variance of the Horvitz‐Thompson estimator. Empirical investigations reveal that the estimator is seldom greatly biased and is quite satisfactory from the stability point of view.