Add to ORKGA mixture of Weibull distribution, involving two shape parameters, two scale parameters, and one pro...
We describe and illustrate Bayesian inference in models for density estimation using mixtures of Dir...
In this thesis we compare various methods for estimating the unknown parameters in mixtures of circu...
by Yuen Wah-Kong.Thesis (M.Phil.)--Chinese University of Hong Kong, 1980.Bibliography: leaves 37-38
AbstractFisher's method of maximum likelihood breaks down when applied to the problem of estimating ...
In the mixture k = 2 of logarithmic-normal distributions, with density function (1), the parameters ...
The problem of estimating the mixing proportion of a mixture of two multivariate normal distribution...
In mixture distributions, mixing parameter is an important parameter. In this paper we estimate this...
7 pages, 1 article*Some Remarks on the Use of Moment Estimators for the Parameters of a Mixture of T...
Ph.D.MathematicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue....
Mixture distributions and models are useful methods of describing data that cannot be estimated with...
International audienceIn this paper the factorial moment method is used to obtain parameter estimate...
The Hessian of the multivariate normal mixture model is derived, and estimators of the information m...
Mixed distributions are a statistical tool used for modelling a range of phenomena in fields as dive...
Mutual Information (MI) measures the degree of association between variables in nonlinear model as w...
A mixture of Weibull distribution, involving two shape parameters, two scale parameters, and one pro...
We describe and illustrate Bayesian inference in models for density estimation using mixtures of Dir...
In this thesis we compare various methods for estimating the unknown parameters in mixtures of circu...
by Yuen Wah-Kong.Thesis (M.Phil.)--Chinese University of Hong Kong, 1980.Bibliography: leaves 37-38
AbstractFisher's method of maximum likelihood breaks down when applied to the problem of estimating ...
In the mixture k = 2 of logarithmic-normal distributions, with density function (1), the parameters ...
The problem of estimating the mixing proportion of a mixture of two multivariate normal distribution...
In mixture distributions, mixing parameter is an important parameter. In this paper we estimate this...
7 pages, 1 article*Some Remarks on the Use of Moment Estimators for the Parameters of a Mixture of T...
Ph.D.MathematicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue....
Mixture distributions and models are useful methods of describing data that cannot be estimated with...
International audienceIn this paper the factorial moment method is used to obtain parameter estimate...
The Hessian of the multivariate normal mixture model is derived, and estimators of the information m...
Mixed distributions are a statistical tool used for modelling a range of phenomena in fields as dive...
Mutual Information (MI) measures the degree of association between variables in nonlinear model as w...
A mixture of Weibull distribution, involving two shape parameters, two scale parameters, and one pro...
We describe and illustrate Bayesian inference in models for density estimation using mixtures of Dir...
In this thesis we compare various methods for estimating the unknown parameters in mixtures of circu...