• Publications
  • Influence
Pointwise and functional approximations in Monte Carlo maximum likelihood estimation
TLDR
A comparison between the marginal likelihood and the recently proposed hierarchical likelihood which avoids integration altogether is compared, which is applied to fit a latent process model to a set of polio incidence data. Expand
The monte carlo newton-raphson algorithm
It is shown that the Monte Carlo Newton-Raphson algorithm is a viable alternative to the Monte Carlo EM algorithm for finding maximum likelihood estimates based on incomplete data. Both Monte CarloExpand
Determination of the unknown age at first capture of western rock lobsters (Panulirus cygnus) by random effects model.
TLDR
The present model permits correlation between the growth coefficient and the age at first capture and can be fitted readily using existing software and a comparison between this model and the Fabens growth equation is given. Expand
The role of unit evaluation, learning and culture dimensions related to student cognitive style in hypermedia learning
Recent developments in learning technologies such as hypermedia are becoming widespread and offer significant contributions to improving the delivery of learning and teaching materials. A key factorExpand
The Cgmanova Model
The Completely General MANOVA (CGMANOVA) model may be used to analyze many complex designs including the GMANOVA, EGMANOVA, MSUR models, the multivariate seemingly unrelated growth curve model, andExpand
Two-stage generalized simulated annealing for the construction of change-over designs
Kunert (1983) has found sufficient conditions for the optimal estimation of direct treatment effects from change-over designs. In this paper, a two-stage generalized simulated annealing algorithmExpand
Constructions for optimal non-strongly-balanced change-over designs
In this paper we use a modification of the Williams's difference sets for complete and quasi-complete Latin squares to construct universally optimal change-over designs for the estimation of bothExpand