regression model with a certain efficiency function depending on two unknown parameters, which models he heteroscedastic error …

regression model with a certain efficiency function depending on two unknown parameters, which models he heteroscedastic error …

For many problems of statistical inference in regression modelling, the Fisher information matrix depends on certain …

For many problems of statistical inference in regression modelling, the Fisher information matrix depends on certain …

For many problems of statistical inference in regression modelling, the Fisher information matrix depends on certain …

For the problem of checking linearity in a heteroscedastic nonparametric regression model under a fixed design … from the assumed linear regression model. It is demonstrated that the optimal design depends sensitively on the used … the uniform design for lack-of-fit tests in homoscedastic multiple linear regression models. …

For many problems of statistical inference in regression modelling, the Fisher information matrix depends on certain …

regression model applied as a predictive model. The assessment is done by comparing the effectiveness of eleven different … probability of default through binary logistic regression model and determining optimum parameters that minimize the objective …