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CONVERGENCE OF ITERATION METHODS OF MAXIMUM LIKELIHOOD ESTIMATOR AND ITS APPLICATIONS

CONVERGENCE OF ITERATION METHODS OF MAXIMUM LIKELIHOOD ESTIMATOR AND ITS APPLICATIONS
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摘要 Iteration methods and their convergences of the maximum likelihoodestimator are discussed in this paper.We study Gauss-Newton method and give a set ofsufficient conditions for the convergence of asymptotic numerical stability.The modifiedGauss-Newton method is also studied and the sufficient conditions of the convergence arepresented.Two numerical examples are given to illustrate our results. Iteration methods and their convergences of the maximum likelihood estimator are discussed in this paper.We study Gauss-Newton method and give a set of sufficient conditions for the convergence of asymptotic numerical stability.The modified Gauss-Newton method is also studied and the sufficient conditions of the convergence are presented.Two numerical examples are given to illustrate our results.
出处 《Journal of Southeast University(English Edition)》 EI CAS 1992年第2期85-93,共9页 东南大学学报(英文版)
关键词 ASYMPTOTIC numerical stability generalized linear models ITERATION method MAXIMUM LIKELIHOOD ESTIMATE asymptotic numerical stability generalized linear models iteration method maximum likelihood estimate
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