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Error distribution function for parametrically truncated and censored data
Laurent, Géraldine; Heuchenne, Cédric
20126th Annual Doctoral Workshop of the Graduate School in Statistics and Actuarial Sciences
 

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Disciplines :
Mathematics
Author, co-author :
Laurent, Géraldine ;  Université de Liège - ULiège > HEC-Ecole de gestion : UER > UER Opérations
Heuchenne, Cédric ;  Université de Liège - ULiège > HEC-Ecole de gestion : UER > Statistique appliquée à la gestion et à l'économie
Language :
English
Title :
Error distribution function for parametrically truncated and censored data
Publication date :
14 September 2012
Event name :
6th Annual Doctoral Workshop of the Graduate School in Statistics and Actuarial Sciences
Event organizer :
UCL
Event place :
Louvain-la-Neuve, Belgium
Event date :
Friday, September 14, 2012
References of the abstract :
Suppose the random vector (X,Y) verifies the nonparametric regression model Y=m(X)+sigma(X)*epsilon where m(X)=E[Y|X] and sigma²(X)=Var[Y|X] are unknown smooth functions and the error epsilon, with unknown distribution, is independent of the covariate X. The pair (X,Y) is obtained from cross-sectional sampling and the response is subject to random censoring. We define a new estimator for the cumulative distribution function of the error, where the estimators of m(.) and sigma²(.) are obtained by extending the conditional estimation methods introduced in de Uña-Alvarez and Iglesias-Perez (2010). Asymptotic properties of the proposed estimator are established. The performance of the estimator is investigated through simulations. This estimator is applied to two real-data problems.
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