Advances and Applications in Statistics

The Advances and Applications in Statistics is an internationally recognized journal indexed in the Emerging Sources Citation Index (ESCI). It provides a platform for original research papers and survey articles in all areas of statistics, both computational and experimental in nature.

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LIKELIHOOD RATIO TESTING FOR CONTINUOUS UNIFORM DISTRIBUTION UNDER NEUTROSOPHIC STATISTICS: THEORY AND APPLICATIONS

Authors

  • Osama H. Arif
  • Muhammad Aslam

Keywords:

classical statistics, neutrosophic statistics, likelihood ratio test, uniform distribution, indeterminacy

DOI:

https://doi.org/10.17654/0972361724061

Abstract

The conventional likelihood ratio test in classical statistics is not suitable for testing when observations or parameters exhibit uncertainty or indeterminacy. This study introduces a likelihood ratio test tailored for continuous uniform distribution within neutrosophic statistics. We define the continuous uniform distribution within the context of neutrosophic statistics and present the proposed test’s statistical properties and operational procedures. We demonstrate the application of this test using temperature data. Analysis of the temperature data shows that our proposed test outperforms existing methods in efficiency.

Received: May 20, 2024
Accepted: July 10, 2024

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Published

19-07-2024

Issue

Section

Articles

How to Cite

LIKELIHOOD RATIO TESTING FOR CONTINUOUS UNIFORM DISTRIBUTION UNDER NEUTROSOPHIC STATISTICS: THEORY AND APPLICATIONS. (2024). Advances and Applications in Statistics , 91(9), 1153-1164. https://doi.org/10.17654/0972361724061

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