Use of Boundary Distribution to Assess the Duration of a Stochastic Processes in Underground Mines

The content of the paper involves a method for analyzing stochastic processes using marginal distribution functions. In the introductory section, the scope of the work was defined, the subject of the research was specified, and an example stochastic process was adopted to illustrate the developed method. The procedure for determining conditional distribution functions and marginal distribution functions of the process duration for an undetermined workforce was characterized. The potential applications of the obtained results were described, and final conclusions were formulated.

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Publication Details

Journal
Archives of Mining Sciences
Published
2025-03-28
DOI
https://doi.org/10.24425/ams.2025.154167
Primary Topic
Reservoir Engineering and Simulation Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Use of Boundary Distribution to Assess the Duration of a Stochastic Processes in Underground Mines

R. Snopkowski, Aneta Napieraj, Marta Sukiennik
Archives of Mining Sciences
Reservoir Engineering and Simulation Methods
article

Use of Boundary Distribution to Assess the Duration of a Stochastic Processes in Underground Mines

R. Snopkowski, Aneta Napieraj, Marta Sukiennik
article en

Abstract

The content of the paper involves a method for analyzing stochastic processes using marginal distribution functions. In the introductory section, the scope of the work was defined, the subject of the research was specified, and an example stochastic process was adopted to illustrate the developed method. The procedure for determining conditional distribution functions and marginal distribution functions of the process duration for an undetermined workforce was characterized. The potential applications of the obtained results were described, and final conclusions were formulated.

Archives of Mining Sciences
Jagiellonian University (PL), AGH University of Krakow (PL)
Openalex Percentile: Top 92%
Reservoir Engineering and Simulation Methods
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