BAYESIAN METHODS FOR DATA ANALYSIS IN THE GAS PRODUCTION INDUSTRY

Authors

  • S.S. Khudolii

Keywords:

Bayesian approach, statistical model, a priori parameters, multidimensional normal distribution.

Abstract

It is shown that Bayesian methods are data analysis tools, which for small sample sizes allow us to evaluate parameters of statistical models more fully and more accurately in comparison with classical statistical methods.

References

Press S. J. Subjective and Objective Bayesian Statistics: Principles, Models, and Applications / S. J. Press. – Second Edition. – New York: John Wiley @ Sons, 2003. – 591 p.

Agresti A, Coull BA. Approximate is better than “exact” for interval estimation of binomial proportions / Agresti A, Coull BA // Amer Statist. – New York, 1998. – Vol. 52(2). – Р. 119–126.

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Published

2023-11-20

How to Cite

Khudolii, S. (2023). BAYESIAN METHODS FOR DATA ANALYSIS IN THE GAS PRODUCTION INDUSTRY. Electrical and Information Systems, (101), 61–65. Retrieved from https://journals.politehnica.dp.ua/index.php/eis/article/view/378

Issue

No. 101 (2019): Mining electromechanics and automation

Section

Статті