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The nonparametric locationscale mixture cure model
Chown, Justin; Heuchenne, Cédric; Van Keilegom, Ingrid - 2018
Persistent link: https://www.econbiz.de/10012050816
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On the Estimation of Jump Points in Smooth Curves
Gijbels, Irene; Hall, Peter; Kneip, Aloïs - In: Annals of the Institute of Statistical Mathematics 51 (1999) 2, pp. 231-251
Persistent link: https://www.econbiz.de/10005184674
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Estimation of fully nonparametric transformation models
Colling, Benjamin; Van Keilegom, Ingrid - 2018
Persistent link: https://www.econbiz.de/10012050888
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The Existence and Asymptotic Properties of a Backfitting Projection Algorithm Under Weak Conditions
Linton, Oliver; Mammen, E.; Nielsen, J. - Cowles Foundation for Research in Economics, Yale University - 1997
We derive the asymptotic distribution of a new backfitting procedure for estimating the closest additive approximation to a nonparametric regression function. The procedure employs a recent projection interpretation of popular kernel estimators provided by Mammen et al. (1997), and the...
Persistent link: https://www.econbiz.de/10005249163
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The Existence and Asymptotic Properties of a Backfitting Projection Algorithm under Weak Conditions
Linton, Oliver; Mammen, Enno; Nielsen, N - Suntory and Toyota International Centres for Economics … - 2000
We derive the asymptotic distribution of a new backfitting procedure for estimating the closest additive approximation to a nonparametric regression function. The procedure employs a recent projection interpretation of popular kernel estimators provided by Mammen, Marron, Turlach and Wand...
Persistent link: https://www.econbiz.de/10005310381
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Plug-in bandwidth choice for estimation of nonparametric part in partial linear regression models with strong mixing errors
Aneiros-Pérez, Germán - In: Statistical Papers 45 (2004) 2, pp. 191-210
Persistent link: https://www.econbiz.de/10008533873
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Joint consistency of nonparametric item characteristic curve and ability estimation
Douglas, Jeff - In: Psychometrika 62 (1997) 1, pp. 7-28
Persistent link: https://www.econbiz.de/10005603680
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The existence and asymptotic properties of a backfitting projection algorithm under weak conditions
Mammen, Enno; Linton, Oliver; Nielsen, J - London School of Economics (LSE) - 2000
We derive the asymptotic distribution of a new backfitting procedure for estimating the closest additive approximation to a nonparametric regression function. The procedure employs a recent projection interpretation of popular kernel estimators provided by Mammen, Marron, Turlach and Wand...
Persistent link: https://www.econbiz.de/10010744974