Add to ORKGMaximum likelihood (m. l.) estimate of the infinite multinomial distribution exists with probability 1 and is consistent under a simple condition on the cell probabilities. To prove the consistency of an m. l. estimate of a parameter it is necessary to assume that the parameter is a continuous function of the distribution. The existence of the m. l. estimates of parameters and their consistency is established slightly weaker that those assumed by earlier writers
In a transformation model , where the errors are i.i.d. and independent of the explanatory variables...
In this article, we combine results from the theory of linear exponential families, polyhedral geome...
The development of the literature on the pseudo maximum likelihood (PML) estimators would not have b...
Maximum likelihood (m. l.) estimate of the infinite multinomial distribution exists with probability...
A numerical maximum likelihood (ML) estimation procedure is developed for the constrained parameters...
In finite mixtures of location-scale distributions, if there is no constraint or penalty on the para...
A property of distributions admitting sufficient statistics is obtained, connecting the likelihood f...
In this article, maximum likelihood estimates of an exchangeable multinomial distribution using a pa...
This morning, in our mathematical statistical class, we've seen briefly the multinomial distribution...
Abst rac t. We consider maximum likelihood estimation of finite mixture of uniform distributions. We...
The parameters of a finite mixture model cannot be consistently estimated when the data come from an...
The pool adjacent violator algorithm (Ayer et al., 1955) has long been known to give the maximum lik...
We propose a new parameter estimation procedure for the Levy processes and the class of infinitely d...
The parameters of a finite mixture model cannot be consistently estimated when the data come from an...
Maximum likelihood is by far the most pop-ular general method of estimation. Its wide-spread accepta...
In a transformation model , where the errors are i.i.d. and independent of the explanatory variables...
In this article, we combine results from the theory of linear exponential families, polyhedral geome...
The development of the literature on the pseudo maximum likelihood (PML) estimators would not have b...
Maximum likelihood (m. l.) estimate of the infinite multinomial distribution exists with probability...
A numerical maximum likelihood (ML) estimation procedure is developed for the constrained parameters...
In finite mixtures of location-scale distributions, if there is no constraint or penalty on the para...
A property of distributions admitting sufficient statistics is obtained, connecting the likelihood f...
In this article, maximum likelihood estimates of an exchangeable multinomial distribution using a pa...
This morning, in our mathematical statistical class, we've seen briefly the multinomial distribution...
Abst rac t. We consider maximum likelihood estimation of finite mixture of uniform distributions. We...
The parameters of a finite mixture model cannot be consistently estimated when the data come from an...
The pool adjacent violator algorithm (Ayer et al., 1955) has long been known to give the maximum lik...
We propose a new parameter estimation procedure for the Levy processes and the class of infinitely d...
The parameters of a finite mixture model cannot be consistently estimated when the data come from an...
Maximum likelihood is by far the most pop-ular general method of estimation. Its wide-spread accepta...
In a transformation model , where the errors are i.i.d. and independent of the explanatory variables...
In this article, we combine results from the theory of linear exponential families, polyhedral geome...
The development of the literature on the pseudo maximum likelihood (PML) estimators would not have b...