  The present paper discusses the problem of estimating the finite population
mean of study variable in simple random sampling in the presence of non
response and response error together. The estimators in this article use
auxiliary information to improve efficiency and we suppose that non response
and measurement error are present in both the study and auxiliary variables. A
class of estimators has been proposed and its properties are studied in the
simultaneous presence of non-response and response errors. It has been shown
that proposed class of estimators is more efficient than the usual unbiased
estimator, ratio and product estimators under non-response and response error
together. In addition, a numerical study is carried out to compare the
performance of the proposed class of estimators over others.
