methodologicalsupport.page.titleprefix Probability Theory, Stochastic Processes, Mathematical Statistics
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Lutsk: LNTU
Abstract
Methodical 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.
Description
Available at https://1drv.ms/u/c/cdf6979a4c94b0ad/IQB-Egg69sfNSabrv2qlGz3-AdH4vq5XCGJ_rAbRUXzR0Dw
Keywords
Events, classical and statistical probability, geometrical probability, total probability, Bayes' formulas, de Moivre-Laplace's local and integral theorem, random variables, distribution laws, random processes, sampling method, statistical hypothesis
Citation
Hubal 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