Obisesan, K. O.Udomboso, C. G.Osowole, O. I.Alaba, O. O.2021-05-252021-05-252008ui_art_obisesan_on_2008West African Journal of Biophysics and Biomathematics 1, pp. 33-45http://ir.library.ui.edu.ng/handle/123456789/5325We consider maximum likelihood estimation logarithmic transformation irrespective of mass of density functions. The estimators are assumed to be consistent, convergent and existing. They are referred to as asymptotically minimum-variance sufficient unbiased estimators (AMVSU). We find that the likelihood function gives accurate result when maximized than the log-likelihood. This is because logarithmic transformation has potential problems. We consider a uniform case where the parameter 0 cannot be estimated by calculus but order-statistics. We fit a truncated Poison distribution into data on damaged done after estimating λ by a Newton-Raphson Iterative Algorithm.enArticle