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

<p>In this paper the author introduced a new conditional distribution function estimator, in short (cdf), when the co-variables are functional in nature. This estimator is a mix of both procedures the <italic>k</italic> Nearest Neighbour method and the spatial functional estimation.</p>
</abstract>

In this paper the author introduced a new conditional distribution function estimator, in short (cdf), when the co-variables are functional in nature. This estimator is a mix of both procedures the k Nearest Neighbour method and the spatial functional estimation.

Unform in Bandwith of the Conditional Distribution Function with Functional Explanatory Variable: The Case of Spatial Data with the <italic>K</italic> Nearest Neighbour Method

Statistics Laboratory Stochastic Processes

University Djillali LIABES of Sidi Bel Abbes

Econometrics

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

Unform in Bandwith of the Conditional Distribution Function with Functional Explanatory Variable: The Case of Spatial Data with the  Nearest Neighbour Method

In this paper the author introduced a new conditional distribution function estimator, in short (cdf), when the co-variables are functional in nature. This...

Unform in Bandwith of the Conditional Distribution Function with Functional Explanatory Variable: The Case of Spatial Data with the K Nearest Neighbour Method

Online veröffentlicht: 12. Sept. 2022

Seitenbereich: 30 - 46

DOI: https://doi.org/10.15611/eada.2022.2.03

Schlüsselwörter
functional data analysis, non-parametric functional, spatial data analysis, Nearest Neighbour method

© 2022 Wahiba Bouabsa, published by Sciendo

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

Unform in Bandwith of the Conditional Distribution Function with Functional Explanatory Variable: The Case of Spatial Data with the K Nearest Neighbour Method

Online veröffentlicht: 12. Sept. 2022

Seitenbereich: 30 - 46

DOI: https://doi.org/10.15611/eada.2022.2.03

Schlüsselwörterfunctional data analysis, non-parametric functional, spatial data analysis, Nearest Neighbour method

© 2022 Wahiba Bouabsa, published by Sciendo

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

Schlüsselwörter
functional data analysis, non-parametric functional, spatial data analysis, Nearest Neighbour method