TY  - JOUR
T1  - Improved Item Sum Technique for Estimating Population Mean with
Sensitive Variables
AU - E. Idim, Owoidighe AU - Adekanmbi, Damilola B. AU - Enang, Ekaette I. 
JO  - Journal of Modern Mathematics and Statistics
VL  - 13
IS  - 1
SP  - 1
EP  - 14
PY  - 2019
DA  - 2001/08/19
SN  - 1994-5388
DO  - jmmstat.2019.1.14
UR  - https://makhillpublications.co/view-article.php?doi=jmmstat.2019.1.14
KW  - efficiency
KW  -auxiliary information
KW  -Iitem Sum Technique (IST)
KW  -Sensitive variable
KW  -method
KW  -comparisons
AB  - Getting correct answers to sensitive questions from respondents and estimating the population
parameters on variables that are sensitive in nature is still a problem in survey sampling. This study proposes
a new sampling design to estimate the population mean of sensitive variable. It compares analytically and
numerically the variance of the proposed estimator to some existing estimators and establish its greater
efficiency. The process was extended to Searl’s method of estimation, estimation method which utilizes priori
information and estimation process using auxiliary information. Comparisons of their variances/mean square
errors give valid results that agree with established facts in the literature.
ER  -