IMPROVEMENT ON ESTIMATING MEDIAN FOR FINITE POPULATION USING AUXILIARY VARIABLES IN DOUBLE-SAMPLING | Zendy

Muhammad Aamir | Zendy; Ani Shabri | Zendy; Muhammad Ishaq | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

IMPROVEMENT ON ESTIMATING MEDIAN FOR FINITE POPULATION USING AUXILIARY VARIABLES IN DOUBLE-SAMPLING

Author(s) -

Muhammad Aamir,

Ani Shabri,

Muhammad Ishaq

Publication year - 2018

Publication title -

jurnal teknologi

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.191

H-Index - 22

eISSN - 2180-3722

pISSN - 0127-9696

DOI - 10.11113/jt.v80.10851

Subject(s) - estimator , mathematics , statistics , mean squared error , simple random sample , population mean , ratio estimator , sampling (signal processing) , population , bias of an estimator , efficiency , minimum variance unbiased estimator , computer science , medicine , environmental health , filter (signal processing) , computer vision

The aim of the study is to suggest a difference-cum-ratio type of median estimator for finite population median using two-auxiliary variables in double sampling. Using simple random sampling without-replacement scheme (SRSWOR) the estimated mean square error (MSE) and BIAS are computed for the new suggested median estimator. The suggested median estimator has a smaller MSE than all other median estimators currently in practice, showing a valid contribution to the literature. In addition some members of the suggested estimator and theoretical comparison of MSE are also computed. Finally, the numerical and graphical comparison of percent relative efficiency (PRE) is also computed for five different real data sets.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research