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Probability Theory, Stochastic Processes, Mathematical Statistics

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dc.contributor.authorHubal, Halyna
dc.date.accessioned2026-05-06T06:29:19Z
dc.date.issued2026
dc.descriptionAvailable at https://1drv.ms/u/c/cdf6979a4c94b0ad/IQAOHj58XZNSQaYcjfpHH3RcAY6osAuJEKqh3Upr64BDUns?e=7Wjw88
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 individual work for full-time and part-time applicants for the First (Bachelor's) Degree in higher education. Lutsk: LNTU, 2026. 32 p. Available at https://1drv.ms/u/c/cdf6979a4c94b0ad/IQAOHj58XZNSQaYcjfpHH3RcAY6osAuJEKqh3Upr64BDUns?e=7Wjw88
dc.identifier.urihttps://repository.lntu.edu.ua/handle/123456789/3411
dc.language.isoen_US
dc.publisherLutsk: LNTU
dc.subjectSpace of elementary events
dc.subjectclassical and statistical probability
dc.subjectde Moivre-Laplace's local and integral theorem
dc.subjectrandom variables
dc.subjectdistribution laws
dc.subjectfunction of random variables
dc.subjectrandom processes
dc.subjectsampling method
dc.subjectstatistical estimate
dc.titleProbability Theory, Stochastic Processes, Mathematical Statistics
dc.typeWorking Paper
dspace.entity.typeMethodologicalSupport

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