دورية أكاديمية

Neutrosophic Topp-Leone Distribution for Interval-Valued Data Analysis

التفاصيل البيبلوغرافية
العنوان: Neutrosophic Topp-Leone Distribution for Interval-Valued Data Analysis
المؤلفون: Muhammad Ahsan-ul-Haq, Javeria Zafar, Muhammad Aslam, Saadia Tariq
المصدر: Journal of Statistical Theory and Applications (JSTA), Vol 23, Iss 2, Pp 164-173 (2024)
بيانات النشر: Springer, 2024.
سنة النشر: 2024
المجموعة: LCC:Probabilities. Mathematical statistics
مصطلحات موضوعية: Neutrosophy, Unit observations, Estimation, MLE, Uncertainty, Probabilities. Mathematical statistics, QA273-280
الوصف: Abstract Many issues in real life are riddled with confusion, vagueness, and ambiguity. The Topp-Leone distribution is a significant one-parameter probability distribution in the context of classical probability theory. There is a gap in the literature when it comes to dealing with circumstances involving interval-valued data with a classical Topp-Leone distribution. So, in this connection, neutrosophic Topp-Leone distribution is presented in this paper as an extension of the traditional Topp-Leone distribution. The new neutrosophic distribution takes into account the indeterminacy and crisp form of interval-valued distributions. The suggested distribution's mathematical features were derived, including moments and related measures, quantile function, survival, hazard, inverted hazard functions, and mills ratio. Maximum likelihood is used to estimate model parameters. Finally, a complex dataset is utilized to show the usefulness of the proposed distributions.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2214-1766
Relation: https://doaj.org/toc/2214-1766
DOI: 10.1007/s44199-024-00077-9
URL الوصول: https://doaj.org/article/1779398b72dc4323b0fdcccaee83012b
رقم الأكسشن: edsdoj.1779398b72dc4323b0fdcccaee83012b
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:22141766
DOI:10.1007/s44199-024-00077-9