[HTML][HTML] Unleashing the Power of Information Theory: Enhancing Accuracy in Modeling Physical Phenomena

B Menin - Journal of Applied Mathematics and Physics, 2023 - scirp.org
When building a model of a physical phenomenon or process, scientists face an inevitable
compromise between the simplicity of the model (qualitative-quantitative set of variables) …

Statistical inference of entropy functions of generalized inverse exponential model under progressive type-II censoring test

Q Gong, B Yin - PloS one, 2024 - journals.plos.org
This article explores the estimation of Shannon entropy and Rényi entropy based on the
generalized inverse exponential distribution under the condition of stepwise Type II …

Bayesian estimation of entropy for burr type xii distribution under progressive type-ii censored data

X Wang, W Gui - Mathematics, 2021 - mdpi.com
With the rapid development of statistics, information entropy is proposed as an important
indicator used to quantify information uncertainty. In this paper, maximum likelihood and …

[HTML][HTML] Objective Model Selection in Physics: Exploring the Finite Information Quantity Approach

B Menin - Journal of Applied Mathematics and Physics, 2024 - scirp.org
Traditional methods for selecting models in experimental data analysis are susceptible to
researcher bias, hindering exploration of alternative explanations and potentially leading to …

[PDF][PDF] Estimation of volatility based on the estimation of segmentation

T Balabanov - Probl. Eng. Cybern. Robot, 2021 - iict.bas.bg
The most common games of chance are slot machines where the virtual reels are rotated
even when reels stop screen with prizes is shown. The arrangement of the symbols on the …

[PDF][PDF] Bayesian Estimation of Entropy for Burr Type XII Distribution under Progressive Type-II Censored Data. Mathematics 2021, 9, 313

X Wang, W Gui - 2021 - pdfs.semanticscholar.org
With the rapid development of statistics, information entropy is proposed as an important
indicator used to quantify information uncertainty. In this paper, maximum likelihood and …