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Testing additivity in nonparametric regression under random censorship (Q952838)

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Language	Label	Description	Also known as
English	Testing additivity in nonparametric regression under random censorship	scientific article

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scholarly article

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Testing additivity in nonparametric regression under random censorship (English)

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Mohammed Debbarh

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Statistics \& Probability Letters

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publication date

14 November 2008

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full work available at URL

https://arxiv.org/abs/0802.1047

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MaRDI profile type

MaRDI publication profile

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Density estimation in \(\mathbb{L}^\infty\) norm for mixing processes

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Vers un test d'additivité en régression non paramétrique sous des conditions de mélange

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On the rate of uniform convergence of the product-limit estimator: Strong and weak laws

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Nonparametric regression with censored covariates

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Uniform convergence of the estimator of an additive regression function under random censorship

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Mean square convergence for estimators of additive regression under random censorship

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Uniform limit laws of the logarithm for estimators of the additive regression function in the presence of right censored data

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A test for additivity in nonparametric regression

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Censored Regression: Local Linear Approximations and Their Applications

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A LIL type result for the product limit estimator

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A note on variable selection in nonparametric regression with dependent data

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Testing additivity in generalized nonparametric regression models with estimated parameters

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Nonparametric Estimation and Regression Analysis With Left-Truncated and Right-Censored Data

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Functional laws of the iterated logarithm for the product-limit estimator of a distribution function under random censorship or truncation

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Integrated square error properties of kernel estimators of regression functions

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Comparing nonparametric versus parametric regression fits

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Versions of Kernel-Type Regression Estimators

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Nonparametric Estimation from Incomplete Observations

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Prediction from randomly right censored data

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Regression analysis with randomly right-censored data

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Asymptotic normality of a class of adaptive statistics with applications to synthetic data methods for censored regression

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Linear Models, Random Censoring and Synthetic Data

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A kernel method of estimating structured nonparametric regression based on marginal integration

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NONPARAMETRIC ESTIMATION AND TESTING OF INTERACTION IN ADDITIVE MODELS

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Optimal global rates of convergence for nonparametric regression

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Identifiers

zbMATH Open document ID

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10.1016/j.spl.2008.07.027

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Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:952838

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