Add to ORKGAbstract. In the paper, on the selected distributions o f probability there were given models allowing for estimation of structural parameters by the generalized least squares method, by applying various types of function of the independent variable in models. It allowed a uniform perspective of the method o f estimation of structural parameters and forecasting the value of parameter p, presented in the final part of the article
The classical approach for specifying statistical models with binary dependent variables in economet...
Given a random sample from some unknown model belonging to a finite class of parametric models, assu...
The paper considers statistical inference for R = P(X \u3c Y) in the case when both X and Y have gen...
The paper is concerned with issues of the estimation of random variable distribution parameters by t...
of the bachelor's thesis Title: Parameter estimation of random variables distribution Author: Bc. Ba...
Nonlinear least squares estimation procedures are proposed for estimating the parameters of the gene...
Fitting distributions to data has a long history and many different procedures have been advocated. ...
AbstractThe latent variable and generalized linear modelling approaches do not provide a systematic ...
AbstractThe distribution theory is developed for a generalized least squares estimator of the growth...
This contribution deals with Monte Carlo simulation of generalized Gaussian random variables. Such a...
The paper demonstrates that random coefficient models can be estimated by maximum likelihood if they...
This contribution deals with Monte Carlo simulation techniques for generalized Gaussian random varia...
In this article, further properties of the Riesz-Bessel distribution are provided. These properties ...
The earliest method of estimation of statistical parameters is the method of least squares due to Ma...
Abstract. The methods for parameter estimation under assumption of agreement between observation and...
The classical approach for specifying statistical models with binary dependent variables in economet...
Given a random sample from some unknown model belonging to a finite class of parametric models, assu...
The paper considers statistical inference for R = P(X \u3c Y) in the case when both X and Y have gen...
The paper is concerned with issues of the estimation of random variable distribution parameters by t...
of the bachelor's thesis Title: Parameter estimation of random variables distribution Author: Bc. Ba...
Nonlinear least squares estimation procedures are proposed for estimating the parameters of the gene...
Fitting distributions to data has a long history and many different procedures have been advocated. ...
AbstractThe latent variable and generalized linear modelling approaches do not provide a systematic ...
AbstractThe distribution theory is developed for a generalized least squares estimator of the growth...
This contribution deals with Monte Carlo simulation of generalized Gaussian random variables. Such a...
The paper demonstrates that random coefficient models can be estimated by maximum likelihood if they...
This contribution deals with Monte Carlo simulation techniques for generalized Gaussian random varia...
In this article, further properties of the Riesz-Bessel distribution are provided. These properties ...
The earliest method of estimation of statistical parameters is the method of least squares due to Ma...
Abstract. The methods for parameter estimation under assumption of agreement between observation and...
The classical approach for specifying statistical models with binary dependent variables in economet...
Given a random sample from some unknown model belonging to a finite class of parametric models, assu...
The paper considers statistical inference for R = P(X \u3c Y) in the case when both X and Y have gen...