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Estimation of a Difference in Finite Populations with Missing Observations
Author(s) -
Bouza C. N.
Publication year - 1983
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.19830250203
Subject(s) - unbiased estimation , statistician , estimator , statistics , mathematics , minimum variance unbiased estimator , variance (accounting) , best linear unbiased prediction , missing data , estimation , bias of an estimator , sampling (signal processing) , econometrics , computer science , artificial intelligence , economics , selection (genetic algorithm) , accounting , management , filter (signal processing) , computer vision
Sampling strategies for the difference are constructed when missing observations are present. Two different situations are analyzed. One of them is related with a non random device settled by the statistician for reducing costs. The other is a non response problem. An unbiased minimum variance estimator is obtained in the first case and an approximation to it is deduced. The unbiased estimation in the second is associated with subsampling tactics.