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JCR 2016
جستجوی مقالات
یکشنبه 23 آذر 1404
International Journal of Nonlinear Analysis and Applications
، جلد ۱۲، شماره ۲، صفحات ۶۹۹-۷۱۵
عنوان فارسی
چکیده فارسی مقاله
کلیدواژههای فارسی مقاله
عنوان انگلیسی
Mixed Topp-Leone-Kumaraswamy distribution
چکیده انگلیسی مقاله
In this article, a new generalization of the Topp-Leone distribution with a unit interval, namely Mixed Topp-Leone-Kumaraswamy distribution is defined and studied. The mathematical properties of this mixing distribution are described. Moments, quantile function, R?nyi entropy, incomplete moments and moments of residual are obtained for the new Mixed Topp-Leone - Kumaraswamy distribution. The maximum likelihood (MLE), Crans (CM) , Percentile (PM) and Particle Swarm Optimization(PSO) estimators of the parameters are derived. The percentile Method is more efficient method as compred to the others. Two real data sets are used to illustrate an application and superiority of the proposed distribution.
کلیدواژههای انگلیسی مقاله
In this article, a new generalization of the Topp-Leone distribution with a unit interval, namely Mixed Topp-Leone-Kumaraswamy distribution is defined and studied. The mathematical properties of this mixing distribution are described. Moments, quantile function, R?nyi entropy, incomplete moments and moments of residual are obtained for the new Mixed Topp-Leone - Kumaraswamy distribution. The maximum likelihood (MLE), Crans (CM), Percentile (PM) and Particle Swarm Optimization(PSO) estimators of the parameters are derived. The percentile Method is more efficient method as compred to the others. Two real data sets are used to illustrate an application and superiority of the pr, Kumaraswamy distribution, mixing Transformation, Moments, Renyi’s entropy, maximum likelihood method, Cran method, Percentile Method, Particle Swarm method
نویسندگان مقاله
Nashaat Jasim Al-Anber |
Department of Information Technology, Technical College of Management-Baghdad, Middle Technical University, Baghdad, Iraq
نشانی اینترنتی
https://ijnaa.semnan.ac.ir/article_5122_d6ad28256ebf4dbae2165e2652b6346f.pdf
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