Exploring the Statistical Properties of Outputs from a Process Inspired by Geometrical Interpretation of Newton's Method

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autor principal: Kirouani, Taki
Formato: Preprint
Publicado: 2024
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866910526493163520
author Kirouani, Taki
author_facet Kirouani, Taki
contents In this paper, the statistical properties of Newton s method algorithm output in a specific case have been studied. The relative frequency density of this sample converges to a well-defined function, prompting us to explore its distribution. Through rigorous mathematical proof, we demonstrate that the probability density function follows a Cauchy distribution. Additionally, a new method to generate a uniform distribution is proposed. To further confirm our findings, we employed statistical tests, including the Kolmogorov-Smirnov test and Anderson-Darling test, which showed high p-values. Furthermore, we show that the distribution of the distance between two successive outputs can be obtained through a transformation method applied to the Cauchy distribution.
format Preprint
id arxiv_https___arxiv_org_abs_2407_09583
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Exploring the Statistical Properties of Outputs from a Process Inspired by Geometrical Interpretation of Newton's Method
Kirouani, Taki
Data Analysis, Statistics and Probability
Probability
Statistics Theory
In this paper, the statistical properties of Newton s method algorithm output in a specific case have been studied. The relative frequency density of this sample converges to a well-defined function, prompting us to explore its distribution. Through rigorous mathematical proof, we demonstrate that the probability density function follows a Cauchy distribution. Additionally, a new method to generate a uniform distribution is proposed. To further confirm our findings, we employed statistical tests, including the Kolmogorov-Smirnov test and Anderson-Darling test, which showed high p-values. Furthermore, we show that the distribution of the distance between two successive outputs can be obtained through a transformation method applied to the Cauchy distribution.
title Exploring the Statistical Properties of Outputs from a Process Inspired by Geometrical Interpretation of Newton's Method
topic Data Analysis, Statistics and Probability
Probability
Statistics Theory
url https://arxiv.org/abs/2407.09583