Abstract
In this chapter we study convergence in distribution in settings involving sequences (S n : n = 1, 2,...), where for each n, S n = X 1+... + X n is the n th partial sum of a series of independent random variables. Our first result is that convergence in distribution of (S n ) is equivalent to a.s. convergence. Thereafter, we specialize to the case in which (X 1, X 2,...) is an iid sequence. Further limit theorems involving more general sums of independent random variables will be found in Chapter 16.
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References
Deuschel, Jean-Dominique and Stroock, Daniel W., Large Deviations, Academic Press, Boston, 1989.
Ellis, Richard S., Entropy, Large Deviations, and Statistical Mechanics, Springer-Verlag, New York, 1985.
Varadhan, S. R. S., Large Deviations and Applications, Society for Industrial and Applied Mathematics, Philadelphia, 1984.
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© 1997 Springer Science+Business Media New York
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Fristedt, B., Gray, L. (1997). Distributional Limit Theorems for Partial Sums. In: A Modern Approach to Probability Theory. Probability and its Applications. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4899-2837-5_15
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DOI: https://doi.org/10.1007/978-1-4899-2837-5_15
Publisher Name: Birkhäuser, Boston, MA
Print ISBN: 978-1-4899-2839-9
Online ISBN: 978-1-4899-2837-5
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