EconPapers    
Economics at your fingertips  
 

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

Bouabsa Wahiba ()
Additional contact information
Bouabsa Wahiba: University Djillali LIABES of Sidi Bel Abbes, Sidi Bel Abbes, Algeria

Econometrics. Advances in Applied Data Analysis, 2023, vol. 27, issue 1, 17-32

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.

Keywords: functional data; local linear estimation; conditional mode function; functional non-parametric statistics (search for similar items in EconPapers)
JEL-codes: C13 C14 C15 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.15611/eada.2023.1.02 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrs:eaiada:v:27:y:2023:i:1:p:17-32:n:2

DOI: 10.15611/eada.2023.1.02

Access Statistics for this article

Econometrics. Advances in Applied Data Analysis is currently edited by Józef Dziechciarz

More articles in Econometrics. Advances in Applied Data Analysis from Sciendo
Bibliographic data for series maintained by Peter Golla ().

 
Page updated 2025-03-20
Handle: RePEc:vrs:eaiada:v:27:y:2023:i:1:p:17-32:n:2