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Regression Type Estimators Using Multiple Auxiliary Information
Author(s) -
Mukerjee Rahul,
Rao T. J.,
Vijayan K.
Publication year - 1987
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.1987.tb00742.x
Subject(s) - estimator , statistics , regression analysis , regression , context (archaeology) , mathematics , mean squared error , linear regression , variable (mathematics) , computer science , paleontology , mathematical analysis , biology
Summary In this paper we consider a practical situation where information on two auxiliary variables related to the study variable is available at different levels. Following Kiregyera (1980, 1984) who has obtained a chain ratio‐to‐regression estimator and regression to regression estimator, we shall study several estimators that arise naturally in this context and compare them under the mean square error criterion. We extend these results to the case when multiple auxiliary information is available.