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20082025
most citedAsymptotic Normality of an M-estimator of regression function for truncated-censored data under alpha-mixing condition

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

math.ST2025

On the convergence rate in the central limit theorem for linearly extended negative quadrant dependent random variables and its applications

Mohamed Kaber El Alem, Zohra Guessoum, Abdelkader Tatachak +1

In this paper, we establish the convergence rate in central limit theorem (CLT) for linearly extended negative quadrant dependent (LENQD) random variables (rv's). Under some weak c…

math.ST2025

On kernel mode estimation under RLT and WOD model

Mohamed Kaber El Alem, Zohra Guessoum, Abdelkader Tatachak

Let denote a sequence of real random variables and let be the mode of the random variable of interest . In this paper, we study the kernel mode est…

math.ST2023

Functional relative error regression under left truncation and right censoring

Adel Boucetta, Zohra Guessoum, Elias Ould-Said

The nonparametric estimators built by minimizing the mean squared relative error are gaining in popularity for their robustness in the presence of outliers in comparison to the Nad…

math.ST2023★ 2 cited

Asymptotic Normality of an M-estimator of regression function for truncated-censored data under alpha-mixing condition

Hassiba Benseradj, Zohra Guessoum

In this paper, we establish weak consistency and asymptotic normality of an M-estimator of the regression function for left truncated and right censored (LTRC) model, where it is a…

math.ST2008

Kernel regression uniform rate estimation for censored data under -mixing condition

Zohra Guessoum, Elias Ould-Saïd

In this paper, we study the behavior of a kernel estimator of the regression function in the right censored model with -mixing data . The uniform strong consistency over a real…