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Probability Theory, Stochastic Processes, Mathematical Statistics

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dc.contributor.authorHubal, Halyna
dc.date.accessioned2026-05-05T06:47:59Z
dc.date.issued2026
dc.descriptionAvailable at https://1drv.ms/u/c/cdf6979a4c94b0ad/IQB-Egg69sfNSabrv2qlGz3-AdH4vq5XCGJ_rAbRUXzR0Dw
dc.description.abstractMethodical instructions developed according to the current author's curriculum of the academic discipline "Probability Theory, Stochastic Processes, Mathematical Statistics" in order to deepen students' knowledge and provide methodical assistance in mastering the discipline materials.
dc.identifier.citationHubal H. M. Probability Theory, Stochastic Processes, Mathematical Statistics: methodical instructions for practical classes for full-time and part-time applicants for the First (Bachelor's) Degree in higher education / H.M. Hubal. – Lutsk: LNTU, 2026. 68 p. Available at https://1drv.ms/u/c/cdf6979a4c94b0ad/IQB-Egg69sfNSabrv2qlGz3-AdH4vq5XCGJ_rAbRUXzR0Dw
dc.identifier.urihttps://repository.lntu.edu.ua/handle/123456789/3407
dc.language.isoen
dc.publisherLutsk: LNTU
dc.subjectEvents
dc.subjectclassical and statistical probability
dc.subjectgeometrical probability
dc.subjecttotal probability
dc.subjectBayes' formulas
dc.subjectde Moivre-Laplace's local and integral theorem
dc.subjectrandom variables
dc.subjectdistribution laws
dc.subjectrandom processes
dc.subjectsampling method
dc.subjectstatistical hypothesis
dc.titleProbability Theory, Stochastic Processes, Mathematical Statistics
dc.typeWorking Paper
dspace.entity.typeMethodologicalSupport

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