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Persistent link: https://www.econbiz.de/10009624851
We give here a simulation study of a density estimator, issued from sharp adaptive estimation. This nonparametric estimator was previously proved to have interesting theoretical properties. In this paper we describe the method and apply it successfully to i.i.d. simulated data issued from...
Persistent link: https://www.econbiz.de/10009580480
regression model. Asymptotic distribution theory is developed for the estimation method which enjoys the same rate of convergence …
Persistent link: https://www.econbiz.de/10009627286
Persistent link: https://www.econbiz.de/10009611551
This paper proposes a nonparametric test of the non-convexity of a smooth regression function based on least squares or …
Persistent link: https://www.econbiz.de/10009578020
general test of significance for qualitative variables in a nonparametric regression. In the case of a fixed C, our procedure … all alternatives. We study its small sample behavior through Monte-Carlo simulations. -- Nonparametric regression …
Persistent link: https://www.econbiz.de/10009578576
We consider the partially linear model relating a response Y to predictors (X,T) with mean function XT β + g(T) when the T's are measured with additive error. We derive an estimator of β by modification local-likelihood method. The resulting estimator of β is shown to be asymptotically...
Persistent link: https://www.econbiz.de/10009657894
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We develop inference tools in a semiparametric regression model with missing response data. A semiparametric regression … likelihood method is developed. It is shown that when missing responses are imputed using the semiparametric regression method …
Persistent link: https://www.econbiz.de/10009620774
regression and generalised partial linear models, a class of semiparametric regression models. Our final random effect logistic … regression model predicted that, among women aged 25 years, the odds-ratio (OR) of spontaneous abortion associated with the male …
Persistent link: https://www.econbiz.de/10009621414