Abstract
In this lesson, we examine some relationships between relative frequency (Lesson 1, Part I) and probability, specifically expectation, (Lesson 11, Part II). In particular, we examine different modes of convergence of the simple arithmetic mean of real random variables defined on a fixed probability space [ΩSP]; each mode has its own law. “Large” refers to the number of RVs, not their values.
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© 1989 Springer Science+Business Media New York
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Nguyen, H.T., Rogers, G.S. (1989). Laws of Large Numbers. In: Fundamentals of Mathematical Statistics. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1013-9_42
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DOI: https://doi.org/10.1007/978-1-4612-1013-9_42
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-6984-7
Online ISBN: 978-1-4612-1013-9
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