  In this article, we have proposed a generalized class of estimators,
exponential class of estimators based on adaption of Sharma and Singh (2015)
and Solanki and Singh (2013) and simple difference estimator for estimating
unknown population mean in case of Poisson distributed population in simple
random sampling without replacement. The expressions for mean square errors of
the proposed classes of estimators are derived to the first order of
approximation. It is shown that the adapted version of Solanki and Singh
(2013), exponential class of estimator, is always more efficient than usual
estimator, ratio, product, exponential ratio and exponential product type
estimators and equal efficient to simple difference estimator. Moreover, the
adapted version of Sharma and Singh (2015) estimator are always more efficient
than all the estimators available in literature. In addition, theoretical
findings are supported by an empirical study to show the superiority of the
constructed estimators over others with earthquake data of Turkey.
