Academic Journal

Stochastic Pareto diffusion process : Statistical analysis and computational issues. Simulation and Application

التفاصيل البيبلوغرافية
العنوان: Stochastic Pareto diffusion process : Statistical analysis and computational issues. Simulation and Application
المؤلفون: Nafidi Ahmed, Makroz Ilyasse, Achchab Boujemâa, Gutiérrez-Sánchez Ramón
المصدر: Moroccan Journal of Pure and Applied Analysis, Vol 9, Iss 1, Pp 127-140 (2023)
بيانات النشر: Sciendo, 2023.
سنة النشر: 2023
المجموعة: LCC:Mathematics
مصطلحات موضوعية: stochastic diffusion model, pareto distribution, statistical inference, simulated annealing method, nonlinear regression, child mortality rate, 60h35, 65c30, 62m86, 62m20, 60h30, Mathematics, QA1-939
الوصف: We propose a novel diffusion process having a mean function equal to the Pareto probability density function up to a constant of proportionality. We examine the probabilistic properties of the proposed model. Then, referring to the problem of statistical inference, we describe the approach employed to tackle the issue of obtaining parameter estimates by maximizing the likelihood function based on discrete sampling. This estimation reduces to solving a set of complex equations, that is accomplished using the simulated annealing algorithm. A simulation study is also given to validate the methodology presented. Finally, using a real-world example of the Moroccan child mortality rate, we obtain the fits and forecasts by employing the suggested stochastic process and nonlinear regression model.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2351-8227
Relation: https://doaj.org/toc/2351-8227
DOI: 10.2478/mjpaa-2023-0009
URL الوصول: https://doaj.org/article/027b7acdff3948ffa3e86ddcc073c7fd
رقم الانضمام: edsdoj.027b7acdff3948ffa3e86ddcc073c7fd
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23518227
DOI:10.2478/mjpaa-2023-0009