In large-scale biomolecular sysrems there are frequency distribuions with properties like Stable Laws. It is of interest to construct such frequency distributions. In the present article we consider Cauchy stable law. The large-sample distribution of the Maximum Likelihood Estimator (M.L.E.) of the scale parameter for some discrete distributions generated by Cauchy stable law are investigated. The existence, strong consistency, asymptotic normality and asymptotic efficiency of that is established
AbstractIn a variety of statistical problems one needs to solve an equation in order to get an estim...
We propose a new parameter estimation procedure for the Levy processes and the class of infinitely d...
The dependence structure of a max-stable random vector is characterized by its spectral measure. Usi...
In this paper we consider “Discrete Distributions Generated by Standard Symmetric Stable Densities” ...
summary:In this article we propose a method of parameters estimation for the class of discrete stabl...
The standard Cauchy distribution is completely characterized by theproperty that it has no atmos and...
A continuous measure-valued model is obtained as the limit of discrete finite-dimensional Markov pro...
Abstract: As we know the Cauchy distribution plays an important role in Probability Theory and Stati...
Stable distributions are extensively used to analyze earnings of financial assets, such as exchange ...
This part is concerned with the applications of the general limit theorems with rates of Part I, ach...
[[abstract]]Hoadley (Ann Math Stat 42:1977–1991, 1971) studied the weak law of large numbers for ind...
A property of distributions admitting sufficient statistics is obtained, connecting the likelihood f...
The asymptotic properties of a solution of the maximum likelihood equation for the case of independe...
We draw here on the relation between the Cauchy and hyperbolic secant distributions to prove that th...
We prove the strong consistency and the asymptotic normality of the maximum likelihood estimator of ...
AbstractIn a variety of statistical problems one needs to solve an equation in order to get an estim...
We propose a new parameter estimation procedure for the Levy processes and the class of infinitely d...
The dependence structure of a max-stable random vector is characterized by its spectral measure. Usi...
In this paper we consider “Discrete Distributions Generated by Standard Symmetric Stable Densities” ...
summary:In this article we propose a method of parameters estimation for the class of discrete stabl...
The standard Cauchy distribution is completely characterized by theproperty that it has no atmos and...
A continuous measure-valued model is obtained as the limit of discrete finite-dimensional Markov pro...
Abstract: As we know the Cauchy distribution plays an important role in Probability Theory and Stati...
Stable distributions are extensively used to analyze earnings of financial assets, such as exchange ...
This part is concerned with the applications of the general limit theorems with rates of Part I, ach...
[[abstract]]Hoadley (Ann Math Stat 42:1977–1991, 1971) studied the weak law of large numbers for ind...
A property of distributions admitting sufficient statistics is obtained, connecting the likelihood f...
The asymptotic properties of a solution of the maximum likelihood equation for the case of independe...
We draw here on the relation between the Cauchy and hyperbolic secant distributions to prove that th...
We prove the strong consistency and the asymptotic normality of the maximum likelihood estimator of ...
AbstractIn a variety of statistical problems one needs to solve an equation in order to get an estim...
We propose a new parameter estimation procedure for the Levy processes and the class of infinitely d...
The dependence structure of a max-stable random vector is characterized by its spectral measure. Usi...