On the solution of likelihood equations by iteration processes. The multiparametric case

application of the iteration process. The use of the iteration process is justified in large samples, at least, if we can show that the above probability tends to one as n, the sample size, tends to infinity. In this paper we consider the multi-parametric case of the Newton-Raphson process and the usual method of scoring for parameters. It is shown that these methods are justifiable in large samples at least.