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Balanced Sample Generation for Predicting the Mean of a Finite Population
Author(s) -
Bouza C. N.,
Allende S. M.
Publication year - 1991
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.4710330714
Subject(s) - statistics , sample (material) , mathematics , population , econometrics , demography , sociology , physics , thermodynamics
Two algorithms for balancing samples are proposed. They permit to disminish the errors of a predictor. A simple linear regression superpopulation model generates the responses. The behavior of the predictor under two balancing algorithms is evaluated in a Montecarlo experiment. The data arose from the determination of the content of minerals and vitamins in feed.