A Simple Goodness-of-fit Test for Linear Models Under a Random Design Assumption
- Holger Dette
- Axel Munk
DOIAbstract
Nonparametric regression check, validation of goodness of fit, L2-distance, equivalence of regression functions, random design,
Nonparametric regression check, validation of goodness of fit, L2-distance, equivalence of regression functions, random design,
Standard goodness-of-fit tests for a parametric regression model against a series of nonparametric a...
AbstractIn this paper, to test goodness of fit to any fixed distribution of errors in multivariate l...
Mixed models, with both random and fixed effects, are most often estimated on the assump-tion that t...
summary:Test procedures are constructed for testing the goodness-of-fit in parametric regression mod...
Empirical processes, goodness of fit, linear regression, random coefficient, Vapnik-Cervonenkis clas...
International audienceThe objective is to construct a tool to test the validity of a regression mode...
Doctor of PhilosophyDepartment of StatisticsWeixing SongIn this dissertation, goodness-of-fit tests ...
Goodness of fit for linear regression models with different NDVI against LAI.</p
Consider the nonparametric regression model Y = m(X) + ε, where the function m is smooth, but unknow...
AbstractWe propose a natural test of fit of a parametric regression model. The test is based on a co...
We propose a framework for constructing goodness-of-fit tests in both low and high dimensional linea...
Abstract _ Random coefficient regression models have been applied in different fields during recent ...
Random coefficient regression models have been applied in different fields during recent years and t...
For regression models other than the linear model, R-squared type goodness-of-fit summary statistics...
We consider the problem of testing parametric assumptions in an inverse regression model with a conv...
Standard goodness-of-fit tests for a parametric regression model against a series of nonparametric a...
AbstractIn this paper, to test goodness of fit to any fixed distribution of errors in multivariate l...
Mixed models, with both random and fixed effects, are most often estimated on the assump-tion that t...
summary:Test procedures are constructed for testing the goodness-of-fit in parametric regression mod...
Empirical processes, goodness of fit, linear regression, random coefficient, Vapnik-Cervonenkis clas...
International audienceThe objective is to construct a tool to test the validity of a regression mode...
Doctor of PhilosophyDepartment of StatisticsWeixing SongIn this dissertation, goodness-of-fit tests ...
Goodness of fit for linear regression models with different NDVI against LAI.</p
Consider the nonparametric regression model Y = m(X) + ε, where the function m is smooth, but unknow...
AbstractWe propose a natural test of fit of a parametric regression model. The test is based on a co...
We propose a framework for constructing goodness-of-fit tests in both low and high dimensional linea...
Abstract _ Random coefficient regression models have been applied in different fields during recent ...
Random coefficient regression models have been applied in different fields during recent years and t...
For regression models other than the linear model, R-squared type goodness-of-fit summary statistics...
We consider the problem of testing parametric assumptions in an inverse regression model with a conv...
Standard goodness-of-fit tests for a parametric regression model against a series of nonparametric a...
AbstractIn this paper, to test goodness of fit to any fixed distribution of errors in multivariate l...
Mixed models, with both random and fixed effects, are most often estimated on the assump-tion that t...
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