In this paper we study goodness-of-fit testing of single-index models. The large sample behavior of certain score-type test statistics is investigated. As a by-product, we obtain asymptotically distribution-free maximin tests for a large class of local alternatives. Furthermore, characteristic function based goodness-of-fit tests are proposed which are omnibus and able to detect peak alternatives. Simulation results indicate that the approximation through the limit distribution is acceptable already for moderate sample sizes. Applications to two real data sets are illustrated.published_or_final_versio
AbstractIn this paper, we are concerned with statistical inference for the index parameter α0 in the...
This paper introduces a new test for goodness-of-fit based on the Gini index which is the sum over a...
Discrete choice models are frequently used in statistical and econo-metric practice. Standard models...
Abstract: The single-index model with an unknown link function is a generalized lin-ear model that h...
We consider functional measurement error models, i.e. models where covariates are measured with erro...
A class of semiparametric regression models, called probabilistic index models, has been recently pr...
Several new tests are proposed for examining the adequacy of a family of parametric models against l...
Consider the nonparametric regression model Y = m(X) + ε, where the function m is smooth, but unknow...
Abstract. Goodness-of-fit tests based on sums of squared com-ponents or the Cramir-von Mises statist...
A goodness-of-fit test for one-parameter count distributions with finite second moment is proposed. ...
36 pages, 3 figuresInternational audienceSemiparametric single-index assumptions are convenient and ...
The single-index model with an unknown link function is a generalized linear model that has been int...
Doctor of PhilosophyDepartment of StatisticsWeixing SongIn this dissertation, goodness-of-fit tests ...
We derive a nonparametric test for discriminating between generalized autoregressive models. This te...
This paper introduces a new test for goodness of fit based on the Gini index which is the sum over a...
AbstractIn this paper, we are concerned with statistical inference for the index parameter α0 in the...
This paper introduces a new test for goodness-of-fit based on the Gini index which is the sum over a...
Discrete choice models are frequently used in statistical and econo-metric practice. Standard models...
Abstract: The single-index model with an unknown link function is a generalized lin-ear model that h...
We consider functional measurement error models, i.e. models where covariates are measured with erro...
A class of semiparametric regression models, called probabilistic index models, has been recently pr...
Several new tests are proposed for examining the adequacy of a family of parametric models against l...
Consider the nonparametric regression model Y = m(X) + ε, where the function m is smooth, but unknow...
Abstract. Goodness-of-fit tests based on sums of squared com-ponents or the Cramir-von Mises statist...
A goodness-of-fit test for one-parameter count distributions with finite second moment is proposed. ...
36 pages, 3 figuresInternational audienceSemiparametric single-index assumptions are convenient and ...
The single-index model with an unknown link function is a generalized linear model that has been int...
Doctor of PhilosophyDepartment of StatisticsWeixing SongIn this dissertation, goodness-of-fit tests ...
We derive a nonparametric test for discriminating between generalized autoregressive models. This te...
This paper introduces a new test for goodness of fit based on the Gini index which is the sum over a...
AbstractIn this paper, we are concerned with statistical inference for the index parameter α0 in the...
This paper introduces a new test for goodness-of-fit based on the Gini index which is the sum over a...
Discrete choice models are frequently used in statistical and econo-metric practice. Standard models...