Work

Analyzing Order Statistics of Non-Identically Distributed Shifted Exponential Variables in Numerical Data

Year: 2024

Type: article

Abstract: In this study, we analyze the order statistics (OS) arising from independent, non-identically distributed (INID) Shifted Exponential (SH-E) random variables. We deduce the moments of the rth order statistic, provide graphical representations of the probability density function (PDF) and cumulative distribution function (CDF) and present numerical examples, including cases where n = 3. This research offers insights into the distributional properties of SH-E variables and their practical applications in numerical data analysis.

Source: International Journal of Science and Research (IJSR)

DOI: 10.21275/sr241116231011

Author: Zakeia A AlSaiary

Institution: University of Jeddah

Language: English

Topic: Statistical Distribution Estimation and Applications

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4404699896

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