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A class of estimators using auxiliary information in sample surveys
Author(s) -
Srivastava Surendra K.
Publication year - 1980
Publication title -
canadian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.804
H-Index - 51
eISSN - 1708-945X
pISSN - 0319-5724
DOI - 10.2307/3315237
Subject(s) - estimator , class (philosophy) , mathematics , sample (material) , statistics , population , linear regression , variable (mathematics) , regression analysis , computer science , artificial intelligence , mathematical analysis , physics , demography , sociology , thermodynamics
A large class of estimators is considered for the mean of a finite population using information on an auxiliary variable. It is shown that members of this class of estimators are asymptotically no more efficient than the linear regression estimator.