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A Combined Product Estimator in Sample Survey
Author(s) -
Kaur Parvinder
Publication year - 1984
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.4710260709
Subject(s) - estimator , mean squared error , statistics , stratified sampling , mathematics , population mean , ratio estimator , efficient estimator , bias of an estimator , minimum variance unbiased estimator , simple random sample , population , medicine , environmental health
For the estimation of the population mean in stratified random sampling a ‘Combined Product Estimator’ is proposed which is more efficient than the ‘Combined Ratio’ and ‘Separate Ratio’ estimators. Also, the proposed estimator have exact expressions for bias and mean square error. An empirical illustration is given to compare the efficiencies of different estimators.