This paper proposes the novel estimator for the success probability parameter
of a binomial distribution. To that end, we use the Cramer-von Mises type
optimization methodology which has been popular for the parameter estimation in
continuous distributions. Upon obtaining the estimator, desirable properties of
the proposed estimation method such as asymptotic distribution and robustness
are rigorously investigated. Simulation studies demonstrate that the proposed
estimator compares favorably with other well-celebrated estimators