Computational Techniques For Maximum Likelohood Estimation Of Three-Parameter Weibull Distribution

Abstract

Two improved numerical techiques are employed to compute MLE for the paraıneters of the 3'parameter V eibuU distribution using complete sample data of large sample size and of new minimal functional is defined large-valued inspection points. For the solution of estimates a and optimized by the descent method and the method of conjugate gradients. The result of both techniques are compared. Asymptotic variance-covariance matrix of estimates for the complete sample is inciuded.