Algorithm for generating neutrosophic data using accept-reject method
Abstract This paper introduces a novel and innovative approach to simulating random variates from two distinct probability distributions, namely the neutrosophic uniform distribution and the neutrosophic Weibull distribution. The primary objective of this research is to present a cutting-edge method...
Main Authors: | Muhammad Aslam, Faten S. Alamri |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2023-12-01
|
Series: | Journal of Big Data |
Subjects: | |
Online Access: | https://doi.org/10.1186/s40537-023-00855-9 |
Similar Items
-
Simulating chi-square data through algorithms in the presence of uncertainty
by: Muhammad Aslam, et al.
Published: (2024-03-01) -
Data analysis for vague contingency data
by: Muhammad Aslam, et al.
Published: (2023-08-01) -
Uncertainty-driven generation of neutrosophic random variates from the Weibull distribution
by: Muhammad Aslam
Published: (2023-12-01) -
Generating Random Variables that follow the Beta Distribution Using the Neutrosophic Acceptance-Rejection Method
by: Maissam Jdid, et al.
Published: (2023-10-01) -
Monitoring the Variability in the Process Using Neutrosophic Statistical Interval Method
by: Muhammad Aslam, et al.
Published: (2018-11-01)