The distributions of likelihood ratio statistic used in variance analysis for test-ing hypotheses on model parameters have been investigated by statistical simu-lation methods. The case of non-normal error distributions has been considered. It has been shown that statistic distributions depend on the error distribution law and the method of model parameter estimation used. The approximations of the limiting statistic distributions for certain observation error laws have been constructed.
A number of statistics used in testing hypotheses concerning multidimensional variables observed has...
The use of the likelihood ratio statistic in testing the goodness of fit of the exploratory factor m...
AbstractThe normal distribution based likelihood ratio (LR) statistic is widely used in structural e...
Abstract Suppose that several different imperfect instruments and one perfect instru-ment are indepe...
In practice, nuisance parameters in statistical models are often replaced by estimates based on an e...
In performing a measurement, we encounter errors or biases from a number of sources. Such sources in...
Although the asymptotic distributions of the likelihood ratio for testing hypotheses of null varianc...
This paper’s goal is to deal with the issue of hypothesis testing when the errors are assumed to be ...
In many epidemiological studies it is common to resort to regression models relating incidence of a ...
The distribution of the Hsu test statistic has been investigated in case when distributions of obse...
When using maximum likelihood methods to estimate genetic and environmental components of (co)varian...
This dissertation addresses some interesting inferential problems for the mean of a special normal d...
This paper considers classical test statistics, namely, the likelihood ratio, efficient score, and W...
This paper discusses the problem of statistical inference in multivariate linear regression models w...
Determining the number of components in a mixture distribution is of interest to researchers in many...
A number of statistics used in testing hypotheses concerning multidimensional variables observed has...
The use of the likelihood ratio statistic in testing the goodness of fit of the exploratory factor m...
AbstractThe normal distribution based likelihood ratio (LR) statistic is widely used in structural e...
Abstract Suppose that several different imperfect instruments and one perfect instru-ment are indepe...
In practice, nuisance parameters in statistical models are often replaced by estimates based on an e...
In performing a measurement, we encounter errors or biases from a number of sources. Such sources in...
Although the asymptotic distributions of the likelihood ratio for testing hypotheses of null varianc...
This paper’s goal is to deal with the issue of hypothesis testing when the errors are assumed to be ...
In many epidemiological studies it is common to resort to regression models relating incidence of a ...
The distribution of the Hsu test statistic has been investigated in case when distributions of obse...
When using maximum likelihood methods to estimate genetic and environmental components of (co)varian...
This dissertation addresses some interesting inferential problems for the mean of a special normal d...
This paper considers classical test statistics, namely, the likelihood ratio, efficient score, and W...
This paper discusses the problem of statistical inference in multivariate linear regression models w...
Determining the number of components in a mixture distribution is of interest to researchers in many...
A number of statistics used in testing hypotheses concerning multidimensional variables observed has...
The use of the likelihood ratio statistic in testing the goodness of fit of the exploratory factor m...
AbstractThe normal distribution based likelihood ratio (LR) statistic is widely used in structural e...
Add to ORKG