This paper presents full-information maximum weighted likelihood estimation of nonlinear simultaneous equations models and studies its asymtotic properties such as consistency and asymptotic normality.

This paper presents maximum weighted likelihood estimation of parametric regression models and proves its asymptotic properties such as consistency and asymptotic normality by using laws of large numbers and central limit theory.

Maximum Likelihood Estimation of Parameters in Regression Model with Contamination Data and Some Unchangeabilities;

Maximum likelihood estimation of multiple-object Parameters in ultrasonic reflection tomography;

Research on Numerical Wind Vector Retrieval Algorithm Based on Maximum Likelihood Estimation;

This paper provides a Monte Carlo approach for achieving maximum likelihood in generalized linear mixed models.

Based on the method, the texture parameters of multi-polarimetric channels are estimated simultaneously by the method of maximum likelihood under the assumption of multi-texture multiplicative speckle noise model.

The maximum likelihood method for target location and speed estimation by using the high resolution of wide band FMCW signals is discussed.

Two MLEs of a Parameter in Poisson Distribution;

The Methods of MLE Numerical Calculate Using Excel Software;

MLE for lognormal distribution with grouped and censored data;

This paper discusses the maximum likelihood estimate (MLE) of means and variances with variances unknown in which the means are restricted by simple semi order for 2 given normal population and proposes an algorithm for obtaining the estimate.

This text establishes a model of space-time block code system at first,and also introduces the theory of maximum likelihood estimate.

【Method】 A model and an algorithm were provided for constructing phylogenetic tree based on the principle of maximum likelihood estimate.