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Almost Unbiased Ratio and Product Type Estimators: A New Approach
Author(s) -
Mahajan P. K.,
Singh Sarjinder
Publication year - 1997
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.4710390412
Subject(s) - estimator , mathematics , product (mathematics) , statistics , efficiency , constraint (computer aided design) , variety (cybernetics) , type (biology) , best linear unbiased prediction , computer science , biology , artificial intelligence , ecology , geometry , selection (genetic algorithm)
In this paper, we have proposed a new method, consisting of a linear variety of the estimators and a linear constraint to remove the bias appearing in the estimators of the ratio R = Y/X and product P = YX. The percent relative efficiency of proposed estimators has also been demonstrated with numerical illustrations.