Abstract
In this chapter we summarize the most important notions and facts of probability theory that are necessary for elaboration of our topic. In the present summary, we will apply the more specific mathematical concept and facts—mainly measure theory and analysis—only to a necessary extent while, however, maintaining mathematical precision. Readers interested in more detailed introduction to probability theory might consult Chow and Teicher (Probability theory, Springer, New York, 1978) and Kallenberg (Foundations of modern probability, Springer, New York, 2002).
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References
Chow, Y., Teicher, H.: Probability Theory. Springer, New York (1978)
Gnedenko, B.V., Kolmogorov, A.N.: Independent Random Variables. Addison-Wesley, Cambridge (1954)
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Kallenberg, O.: Foundations of Modern Probability. Springer, New York (2002)
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Lakatos, L., Szeidl, L., Telek, M. (2019). Introduction to Probability Theory. In: Introduction to Queueing Systems with Telecommunication Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-15142-3_1
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DOI: https://doi.org/10.1007/978-3-030-15142-3_1
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