TITLE:
A Regression Type Estimator with Two Auxiliary Variables for Two-Phase Sampling
AUTHORS:
Naqvi Hamad, Muhammad Hanif, Najeeb Haider
KEYWORDS:
Mean Square Error; Precision; Two-Phase Sampling; Auxiliary Variable; Regression Type Estimator; Simple Random Sampling without Replacement
JOURNAL NAME:
Open Journal of Statistics,
Vol.3 No.2,
April
22,
2013
ABSTRACT: This paper is an extension of Hanif, Hamad and Shahbaz estimator [1]
for two-phase sampling. The aim of this paper is to develop a regression type
estimator with two auxiliary variables for two-phase sampling when
we don’t have any type of information about auxiliary variables at population
level. To avoid multi-collinearity,
it is assumed that both auxiliary variables have minimum correlation. Mean
square error and bias of proposed estimator in two-phase sampling is derived.
Mean square error of proposed estimator shows an improvement over other well
known estimators under the same case.