Add to ORKGPractical use of modern likelihood asymptotics is still limited by the lack of flexible and easy to use computational tools. The aim of the paper is to illustrate the potential of these methods in the framework of nonlinear regression and give insight into how they can be implemented into S-Plus
The S-PLUS library HOA implements several of the most promising higher-order solutions for three wid...
grantor: University of TorontoIn this thesis, we develop a simple general formula for appr...
The S-PLUS library HOA implements several of the most promising higher-order solutions for three wid...
Practical use of modern likelihood asymptotics is still limited by the lack of flexible and easy to ...
Practical use of modern likelihood asymptotics is still limited by the lack of flexible and easy to ...
Likelihood-based approaches, including profile-likelihood, signed- likelihood, sample deviance and p...
Practical use of modern likelihood asymptotics is still limited by the lack of flexible and easy to ...
Practical use of modern likelihood asymptotics is still limited by the lack of flexible and easy to ...
This paper focuses on the application of higher-order asymptotics for likelihood-based inference to ...
One of the main criticisms against the use of higher order asymptotics is that the algebraic express...
Higher-order likelihood methods often give very accurate results. A way to evaluate accuracy is the ...
One of the main criticisms against the use of higher order asymptotics is that the algebraic express...
This paper investigates the use of likelihood methods for meta-analysis, within the random-effects m...
Nonlinear heteroscedastic regression models are a widely used class of models in applied statistics,...
One of the main criticisms against the use of higher order asymptotics is that the algebraic express...
The S-PLUS library HOA implements several of the most promising higher-order solutions for three wid...
grantor: University of TorontoIn this thesis, we develop a simple general formula for appr...
The S-PLUS library HOA implements several of the most promising higher-order solutions for three wid...
Practical use of modern likelihood asymptotics is still limited by the lack of flexible and easy to ...
Practical use of modern likelihood asymptotics is still limited by the lack of flexible and easy to ...
Likelihood-based approaches, including profile-likelihood, signed- likelihood, sample deviance and p...
Practical use of modern likelihood asymptotics is still limited by the lack of flexible and easy to ...
Practical use of modern likelihood asymptotics is still limited by the lack of flexible and easy to ...
This paper focuses on the application of higher-order asymptotics for likelihood-based inference to ...
One of the main criticisms against the use of higher order asymptotics is that the algebraic express...
Higher-order likelihood methods often give very accurate results. A way to evaluate accuracy is the ...
One of the main criticisms against the use of higher order asymptotics is that the algebraic express...
This paper investigates the use of likelihood methods for meta-analysis, within the random-effects m...
Nonlinear heteroscedastic regression models are a widely used class of models in applied statistics,...
One of the main criticisms against the use of higher order asymptotics is that the algebraic express...
The S-PLUS library HOA implements several of the most promising higher-order solutions for three wid...
grantor: University of TorontoIn this thesis, we develop a simple general formula for appr...
The S-PLUS library HOA implements several of the most promising higher-order solutions for three wid...