Randomly Correlated Data

Authors

  • Luis F. Copertari Computer Engineering. Autonomous University of Zacatecas (UAZ). Zacatecas, México
  • Gloria V. Reyna-Barajas Psychology Department. Autonomous University of Zacatecas (UAZ). Zacatecas, México
  • Georgina Lozano-Razo Psychology Department. Autonomous University of Zacatecas (UAZ). Fresnillo, México
  • Javier Zavala-Rayas Psychology Department. Autonomous University of Zacatecas (UAZ). Fresnillo, México

DOI:

https://doi.org/10.14738/assrj.1301.19910

Keywords:

Random, correlation, data, positive, negative

Abstract

The random correlation data algorithm allows the creation of two randomly correlated variables having a relatively strong positive or negative correlation between them. We have used this algorithm in project management and, more specifically, in project portfolio selection. This paper describes the most important concepts and portrays the relevant equations for the algorithm being considered. The equations can be applied to other domains of inquiry. Also, although the random distribution generator was uniformly distributed, other random generators can be used, such as normally distributed random generators.

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Published

2026-01-27

How to Cite

Copertari, L. F., Reyna-Barajas, G. V., Lozano-Razo, G., & Zavala-Rayas, J. (2026). Randomly Correlated Data. Advances in Social Sciences Research Journal, 13(01), 136–144. https://doi.org/10.14738/assrj.1301.19910

Issue

Vol. 13 No. 01 (2026): Advances in Social Sciences Research Journal

Section

Articles

License

Copyright (c) 2026 Luis F. Copertari, Gloria V. Reyna-Barajas , Georgina Lozano-Razo, Javier Zavala-Rayas

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