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/IQAOHj58XZNSQaYcjfpHH3RcAY6osAuJEKqh3Upr64BDUns?e=7Wjw88
Keywords
Space of elementary events, classical and statistical probability, de Moivre-Laplace's local and integral theorem, random variables, distribution laws, function of random variables, random processes, sampling method, statistical estimate
Citation
Hubal 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