National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
Effect of measurement error on the shape of the regression function in nonlinear models
Drábková, Alena ; Kulich, Michal (advisor) ; Zvára, Karel (referee)
In this thesis we study the effect of regressors measured with an error on an estimated coefficients in a generalized linear model. We infer the true shape of the mean and of the variance function in the given model. We show that assumptions of a generalized linear model are not fulfilled universally if we use variables measured with an error. Despite this, the error-in-variable model can still be useful for testing dependence of original correct regressor. Further on in the thesis, the asymptotic values of coefficients are approximated, assuming g(E(Yi|Wi)) is a quadratic function. Examples for all results are provided through simulations.
Effect of measurement error on the shape of the regression function in nonlinear models
Drábková, Alena ; Zvára, Karel (referee) ; Kulich, Michal (advisor)
In this thesis we study the effect of regressors measured with an error on an estimated coefficients in a generalized linear model. We infer the true shape of the mean and of the variance function in the given model. We show that assumptions of a generalized linear model are not fulfilled universally if we use variables measured with an error. Despite this, the error-in-variable model can still be useful for testing dependence of original correct regressor. Further on in the thesis, the asymptotic values of coefficients are approximated, assuming g(E(Yi|Wi)) is a quadratic function. Examples for all results are provided through simulations.

See also: similar author names
3 Drábková, Adéla
2 Drábková, Alice
2 Drábková, Aneta
4 Drábková, Anna
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