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نمایش تعداد 1-10 از 11

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

نوع: Journal Paper

نویسنده : Zohra Guessoum; Elias Ould Saïd

سال: 2012

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Nonparametric robust regression estimation for censored data

نوع: Journal Paper

نویسنده : Mohamed Lemdani; Elias Ould Saïd

سال: 2015

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

نوع: Journal Paper

نویسنده : Walid Horrigue; Elias Ould Saïd

سال: 2014

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

نوع: Journal Paper

نویسنده : Elias Ould-Saïd; Ouafae Yazourh-Benrabah

سال: 2003

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

نوع: Journal Paper

نویسنده : Said Attaoui; Ali Laksaci; Elias Ould Saïd

سال: 2015

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

نوع: Journal Paper

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

ناشر: Informa UK Limited

سال: 2008

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

نوع: Journal Paper

نویسنده : Salah Khardani; Mohamed Lemdani; Elias Ould Saïd

سال: 2011

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

نوع: Journal Paper

نویسنده : Mohammed Attouch; Ali Laksaci; Elias Ould Saïd

سال: 2010

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

نوع: Journal Paper

نویسنده : M'hamed Ezzahrioui; Elias Ould Saïd

ناشر: John Wiley and Sons

سال: 2010

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

نوع: Journal Paper

نویسنده : M'hamed Ezzahrioui; Elias Ould-Saïd

سال: 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