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Now showing items 1-10 of 11

Central limit theorem for the kernel estimator of the regression function for censored time series

Type: Journal Paper

Author : Zohra Guessoum; Elias Ould Saïd

Year: 2012

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Nonparametric robust regression estimation for censored data

Type: Journal Paper

Author : Mohamed Lemdani; Elias Ould Saïd

Year: 2015

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Non Parametric Regression Quantile Estimation for Dependent Functional Data under Random Censorship: Asymptotic Normality

Type: Journal Paper

Author : Walid Horrigue; Elias Ould Saïd

Year: 2014

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Chung–Smirnov property for smoothed distribution function estimator under random censorship

Type: Journal Paper

Author : Elias Ould-Saïd; Ouafae Yazourh-Benrabah

Year: 2003

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Asymptotic Results for an M-Estimator of the Regression Function for Quasi-Associated Processes

Type: Journal Paper

Author : Said Attaoui; Ali Laksaci; Elias Ould Saïd

Year: 2015

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Asymptotic normality of a nonparametric estimator of the conditional mode function for functional data

Type: Journal Paper

Author : Ezzahrioui, M'hamed, and Elias Ould-Saïd.

Publisher: Informa UK Limited

Year: 2008

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Uniform rate of strong consistency for a smooth kernel estimator of the conditional mode for censored time series

Type: Journal Paper

Author : Salah Khardani; Mohamed Lemdani; Elias Ould Saïd

Year: 2011

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Asymptotic normality of a robust estimator of the regression function for functional time series data

Type: Journal Paper

Author : Mohammed Attouch; Ali Laksaci; Elias Ould Saïd

Year: 2010

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Some asymptotic results of a non-parametric conditional mode estimator for functional time-series data

Type: Journal Paper

Author : M'hamed Ezzahrioui; Elias Ould Saïd

Publisher: John Wiley and Sons

Year: 2010

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Asymptotic Results of a Nonparametric Conditional Quantile Estimator for Functional Time Series

Type: Journal Paper

Author : M'hamed Ezzahrioui; Elias Ould-Saïd

Year: 2008

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Central limit theorem for the kernel estimator of the regression function for censored time series

Nonparametric robust regression estimation for censored data

Non Parametric Regression Quantile Estimation for Dependent Functional Data under Random Censorship: Asymptotic Normality

Chung–Smirnov property for smoothed distribution function estimator under random censorship

Asymptotic Results for an M-Estimator of the Regression Function for Quasi-Associated Processes

Asymptotic normality of a nonparametric estimator of the conditional mode function for functional data

Uniform rate of strong consistency for a smooth kernel estimator of the conditional mode for censored time series

Asymptotic normality of a robust estimator of the regression function for functional time series data

Some asymptotic results of a non-parametric conditional mode estimator for functional time-series data

Asymptotic Results of a Nonparametric Conditional Quantile Estimator for Functional Time Series

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Central limit theorem for the kernel estimator of the regression function for censored time series

Nonparametric robust regression estimation for censored data

Non Parametric Regression Quantile Estimation for Dependent Functional Data under Random Censorship: Asymptotic Normality

Chung–Smirnov property for smoothed distribution function estimator under random censorship

Asymptotic Results for an M-Estimator of the Regression Function for Quasi-Associated Processes

Asymptotic normality of a nonparametric estimator of the conditional mode function for functional data

Uniform rate of strong consistency for a smooth kernel estimator of the conditional mode for censored time series

Asymptotic normality of a robust estimator of the regression function for functional time series data

Some asymptotic results of a non-parametric conditional mode estimator for functional time-series data

Asymptotic Results of a Nonparametric Conditional Quantile Estimator for Functional Time Series