Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Gadde SR"'
Autor:
Gadde Srinivasa Rao, Muhammad Aslam, Peter Kirigiti Josephat, Zainalabideen Al-Husseini, Mohammed Albassam
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract This paper aims to provide a multiple dependent state (MDS) sampling technique for light-emitting diode luminous intensities under indeterminacy by employing time truncated sampling schemes and the Weibull distribution. This indicates that A
Externí odkaz:
https://doaj.org/article/5fb953a2704647ff89cf54e1f20e534e
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Diabetes is one of the top four non-communicable diseases that cause death and illness to many people around the world. This study aims to use an efficient count data model to estimate socio-environmental factors associated with d
Externí odkaz:
https://doaj.org/article/19b9cfbe7d9343729b55f5a8ca640e8d
Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 23, Iss 1, Pp 26-43 (2024)
Abstract The Pareto distribution is of paramount importance in actuarial science, wealth distribution, finance, etc. This paper introduces a control chart inspired by Shewhart's methodology, designed for monitoring shifts in the Pareto distribution t
Externí odkaz:
https://doaj.org/article/b6e74e2c9ed84686b63efea293ede7f5
Publikováno v:
Neutrosophic Sets and Systems, Vol 58, Pp 248-262 (2023)
In this paper, we consider the neutrosophic generalized Rayleigh distribution (NGRD). Various neutrosophic properties of NGRD are developed and discussed. The developed distribution is specifically more useful to model indeterminate data which are sk
Externí odkaz:
https://doaj.org/article/487ea50e5d0049b0a343857c4441e919
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract This piece of work deals with a time truncated sampling scheme for cancer patients using exponentiated half-logistic distribution (EHLD) based on indeterminacy. We have studied time truncated schemes like repetitive acceptance sampling plan
Externí odkaz:
https://doaj.org/article/ea9c2897d33e42e59b75cecc0af7d4b8
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-14 (2023)
Abstract A multiple dependent state sampling plan (MDSSP) is designed when the lifetimes of the variables follow New Lomax Rayleigh Distribution (NLRD). The decision to accept or reject a lot in the proposed methodology is based on the quality of the
Externí odkaz:
https://doaj.org/article/341c45f164d54f0b87c137f4c258b63e
Publikováno v:
Neutrosophic Sets and Systems, Vol 55, Pp 471-485 (2023)
The objective of this article is to create a Neutrosophic Generalized Exponential (NGE) distribution in the presence of uncertainty. It is possible to calculate the mean, variance, moments, and reliability expression of the NGE distribution. With the
Externí odkaz:
https://doaj.org/article/a673fba04e544ea2b4febe5704b5fbc8
Autor:
Nasrullah Khan, Gadde Srinivasa Rao, Rehan Ahmad Khan Sherwani, Ali Hussein AL-Marshadi, Muhammad Aslam
Publikováno v:
AIMS Mathematics, Vol 8, Iss 6, Pp 14558-14571 (2023)
This research work appertains to the acceptance sampling plan under the neutrosophic statistical interval method (ASP-NSIM) based on gamma distribution (GD), Burr type XII distribution (BXIID) and the Birnbaum-Saunders distribution (BSD). The plan pa
Externí odkaz:
https://doaj.org/article/a8555d3c4da74b3cb65553bfa83fa21b
Autor:
Gadde Srinivasa Rao
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-12 (2023)
Abstract The log-logistic distribution is more comprehensively applied in the area of survival and reliability engineering analysis for modeling the lifetime data practices of both human and electronic designs. The goal of this paper is to develop a
Externí odkaz:
https://doaj.org/article/b1a9f5fe6b79497b9a679f779a39ff5d
Autor:
Huda M. Alshanbari, Zubair Ahmad, Abd Al-Aziz Hosni El-Bagoury, Omalsad Hamood Odhah, Gadde Srinivasa Rao
Publikováno v:
Symmetry, Vol 16, Iss 5, p 611 (2024)
Symmetrical as well as asymmetrical statistical models play a prominent role in describing and predicting the real-world phenomena of nature. Among other fields, these models are very useful for modeling data in the sector of civil engineering. Due t
Externí odkaz:
https://doaj.org/article/9d0b77e9975f4692b3bea78181f6aec4