<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The aim of this research was to study a nonparametric estimator of the density and mode function of a scalar response variable given a functional variable, when the observations are i.i.d. This proposed estimator is given by combining Missing At Random (MAR) with the local linear approach. Finally, a comparison study based on simulated data is also provided to illustrate the finite sample performances and the usefulness of the local linear approach with MAR to the presence of even a small proportion of outliers in the data.</p>
</abstract>

The aim of this research was to study a nonparametric estimator of the density and mode function of a scalar response variable given a functional variable, when the observations are i.i.d. This proposed estimator is given by combining Missing At Random (MAR) with the local linear approach. Finally, a comparison study based on simulated data is also provided to illustrate the finite sample performances and the usefulness of the local linear approach with MAR to the presence of even a small proportion of outliers in the data.

The Estimating of the Conditional Density with Application to the Mode Function in Scalar-On-Function Regression Structure: Local Linear Approach with Missing at Random

University Djillali LIABES of Sidi Bel Abbes

Econometrics

This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License.

The aim of this research was to study a nonparametric estimator of the density and mode function of a scalar response variable given a functional variable,...

The Estimating of the Conditional Density with Application to the Mode Function in Scalar-On-Function Regression Structure: Local Linear Approach with Missing at Random

Online veröffentlicht: 30. Mai 2023

Seitenbereich: 17 - 32

Eingereicht: 12. Juli 2022

Akzeptiert: 26. März 2023

DOI: https://doi.org/10.15611/eada.2023.1.02

Schlüsselwörter
functional data, local linear estimation, conditional mode function, functional non-parametric statistics

© 2023 Wahiba Bouabsa, published by Sciendo

This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License.

The Estimating of the Conditional Density with Application to the Mode Function in Scalar-On-Function Regression Structure: Local Linear Approach with Missing at Random

Online veröffentlicht: 30. Mai 2023

Seitenbereich: 17 - 32

Eingereicht: 12. Juli 2022

Akzeptiert: 26. März 2023

DOI: https://doi.org/10.15611/eada.2023.1.02

Schlüsselwörterfunctional data, local linear estimation, conditional mode function, functional non-parametric statistics

© 2023 Wahiba Bouabsa, published by Sciendo

This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License.

Schlüsselwörter
functional data, local linear estimation, conditional mode function, functional non-parametric statistics