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New Simple and Multiple Nonparametric Regression Model Using a Standard Logistic Kernel with Application to Fire Accidents Data |
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PP: 135-145 |
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doi:10.18576/jsap/120113
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Author(s) |
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Samah M. Abo-El-Hadid,
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Abstract |
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| 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.
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