Open Journal of Statistics

Volume 14, Issue 1 (February 2024)

ISSN Print: 2161-718X   ISSN Online: 2161-7198

Google-based Impact Factor: 1.45  Citations  

Probability Laws Derived from the Gamma Function

HTML  XML Download Download as PDF (Size: 1437KB)  PP. 106-118  
DOI: 10.4236/ojs.2024.141005    218 Downloads   899 Views  Citations

ABSTRACT

Several densities or probability laws of continuous random variables derive from the Euler Gamma function. These laws form the basis of sampling theory, namely hypothesis testing and estimation. Namely the gamma, beta, and Student law, through the chi-square law and the normal law are all distributions resulting from applications of Euleur functions.

Share and Cite:

Toure, L. and Conde, S. (2024) Probability Laws Derived from the Gamma Function. Open Journal of Statistics, 14, 106-118. doi: 10.4236/ojs.2024.141005.

Cited by

No relevant information.

Copyright © 2025 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.