Open AccessSTUDY OF YADAV AND KADILARS IMPROVED EXPONENTIAL TYPE RATIO ESTIMATOR OF POPULATION VARIANCE IN TWO-PHASE SAMPLING
Author(s) -
Housila P. Singh,
Ragen Goli,
Tanveer A. Tarray
Publication year - 2015
Publication title -
hacettepe journal of mathematics and statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.312
H-Index - 26
ISSN - 1303-5010
DOI - 10.15672/hjms.20158612895
Subject(s) - mathematics , estimator , statistics , exponential function , type (biology) , variance (accounting) , population , ratio estimator , sampling (signal processing) , minimum variance unbiased estimator , mathematical analysis , bias of an estimator , demography , ecology , accounting , sociology , business , biology , filter (signal processing) , computer science , computer vision
This paper presents a double sampling version of Yadav and Kadilar (2013) estimator alongwith its properties under large sample approximation. Cost aspect is also discussed. We have compared the proposed estimator with usual unbiased estimator and usual double sampling ratio estimator and shown that the proposed estimator is better than usual unbiased estimator and other existing estimators under some realistic conditions to two-phase sampling.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom