Predicting a random determinant with i.i.d. Beta variates of first kind
Shashi Kant Agrawalshashikantagrawal658@gmail.comUniversity Department of Mathematics Ranchi UniversityRanchi, Jharkhand, 834008, IndiaView full profile → , Pinky Pandeyunix.pinky@gmail.comDepartment of Mathematics Nirmala College Ranchi UniversityRanchi, Jharkhand, 834002, IndiaView full profile → , *Soubhik ChakrabortyCorresponding authorsoubhikc@yahoo.co.inDepartment of Mathematics Birla Institute of Technology MesraRanchi, Jharkhand, 835215, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 08 Apr 2025
- Published Online:
- 08 Jan 2026
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JSMS-1523
- Pages:
- 365–370
Abstract
Keywords
Subject Classifications
References
[1] G. L. Wise and E. B. Hall, “A note on the distribution of the determinant of a random matrix,” Statistics and Probability Letters, vol. 11, pp. 147–148 (1991).
[2] T. Muir, A Treatise on the Theory of Determinants, Nabu Press, 2011.
[3] N. Saha and S. Chakraborty, Probabilistic Analysis of a Random Determinant, GRIN Verlag (2019).
[4] N. Saha and S. Chakraborty, “Using Chebyshev’s inequality to predict a random determinant for i.i.d. Gamma and Weibull distributions,” Journal of Statistics and Management Systems, vol. 24, no. 3, pp. 613–623 (2021).
[5] S. C. Gupta and V. K. Kapoor, Fundamentals of Mathematical Statistics, Sultan Chand and Sons (2014).
