The problem of estimating the parameters for continuous-time partially observed systems is discussed. New exact lters for obtaining Maximum Likelihood (ML) parameter estimates via the Expectation Maximization algorithm are derived. The methodology exploits relations between incomplete and complete data likelihood and gradient of likelihood functions, which are derived using Girsanov's measure t...

The Burr Type XII distribution is one of the systems of continuous distributions and is widely known because the distribution includes the characteristics of various well known distributions such as Weibull and gamma distributions. Maximum likelihood estimation (MLE) has been a common method in estimating model parameters. An alternative method that is the expectation-maximization (EM) algorith...

Estimates of covariance components between scrotal circumference, serving capacity, days to calving, yearling and final weight were obtained for Hereford, Angus and Zebu cross cattle in temperate and tropical Australia. Analyses were carried out by restricted maximum likelihood employing a derivative-free algorithm and fitting bivariate animal models. Aspects of modeling and computational requi...

influence of maternal and sire-generation interaction effects on day-old chick' weight was investigated in two commercial broiler sire and dam lines, and in mazandaran native fowls. the data were analysed through restricted maximum likelihood (reml) procedures, using asreml software. ten different animal models were implemented and compared with likelihood ratio test. all models consisted ...

This article presents an alternative method to find the global maximum likelihood estimates of the mixing probabilities of a mixture of multinomial distributions. For these mixture models it is shown that the maximum likelihood estimates of the mixing probabilities correspond with the roots of a multivariate polynomial system. A new algorithm, set in a linear algebra framework, is presented whi...

INTRODUCTION Maximising the (log) likelihood (logL) in restricted maximum likelihood (REML) estimation of variance components almost invariably represents a constrained optimisation problem. Iterative algorithms available to solve this problem differ substantially in computational resources needed, ease of implementation, sensitivity to choice of starting values and rates of convergence. One of...

in this study, data comprising 10479 production and reproduction records of razavi khorasan province's dairy cattle, were collected by animal breeding center of iran during 1986 to 2006, were used. genetic parameters were estimated by restricted maximum likelihood procedure using wombat software. genetic and phonotype trends were estimated via linear regression as means genetic and phonotype va...