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Can I read A Novel Fractional Model for the Projection of Households Using Wealth Index Quintiles on EtoBox?
A Novel Fractional Model for the Projection of Households Using Wealth Index Quintiles by Shakoor Ahmad; Shumaila Javeed; Saqlain Raza; Dumitru Baleanu is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is A Novel Fractional Model for the Projection of Households Using Wealth Index Quintiles about?
Forecasting household assets provides a better opportunity to plan their socioeconomic activities for the future. Fractional mathematical models offer to model the asset-holding data into a piece of scientific evidence in addition to forecasting their future value. This research focuses on the development of a new fractional mathematical model based on the wealth index quintile (WIQ) data. To accomplish the objective, we used the system of coupled fractional differential equations by defining the fractional term with the Caputo derivative and verified it with the stability tests considering the steady-state solution. A numerical solution of the model was obtained using the Adams-Bashforth-Moulton method. To validate the model, we used real-time data obtained from the household series of surveys in Punjab, Pakistan. Different case studies that elucidate the effect of quintiles on the population are also presented. The accuracy of results between real-world and simulated data was compared using absolute and relative errors. The synchronization between the simulated results and real-time data verifies the formulation of the fractional WIQ model. This fractional model can be utilized t
Who reads A Novel Fractional Model for the Projection of Households Using Wealth Index Quintiles?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Shakoor Ahmad; Shumaila Javeed; Saqlain Raza; Dumitru Baleanu
- Publisher
- Public Library of Science (PLoS)
- Published
- 2022
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)
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