@article{MAKHILLJMMS201913128202,
    title = {Improved Item Sum Technique for Estimating Population Mean with
Sensitive Variables},
    journal = {Journal of Modern Mathematics and Statistics},
    volume = {13},
    number = {1},
    pages = {1-14},
    year = {2019},
    issn = {1994-5388},
    doi = {jmmstat.2019.1.14},
    url = {https://makhillpublications.co/view-article.php?issn=1994-5388&doi=jmmstat.2019.1.14},
    author = {Owoidighe,Damilola B. and},
    keywords = {efficiency,auxiliary information,Iitem Sum Technique (IST),Sensitive variable,method,comparisons},
    abstract = {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.}
    }