New Simple and Multiple Nonparametric Regression Model Using a Standard Logistic Kernel with Application to Fire Accidents Data

Authors

Samah M. Abo-El-Hadid, Department of Mathematics, Insurance and Applied Statistics, Faculty of Commerce and Business Administration, Helwan University Cairo, EgyptFollow

Abstract

In this paper, new simple and multiple Nadaraya-Watson regression models are introduced by using a standard logistic kernel density. The statistical properties of the resulting regression functions are studied, and then the suggested models are applied to Egyptian fire accidents real data during the year 2020. Also, the suggested regression models are compared with other parametric and nonparametric regression models.

Digital Object Identifier (DOI)

http://dx.doi.org/10.18576/jsap/120113

Recommended Citation

M. Abo-El-Hadid, Samah (2023) "New Simple and Multiple Nonparametric Regression Model Using a Standard Logistic Kernel with Application to Fire Accidents Data," Journal of Statistics Applications & Probability: Vol. 12: Iss. 1, Article 13.
DOI: http://dx.doi.org/10.18576/jsap/120113
Available at: https://digitalcommons.aaru.edu.jo/jsap/vol12/iss1/13