The Lindeberg central limit theorem
نویسنده
چکیده
Theorem 1. If μ ∈P(R) has finite kth moment, k ≥ 0, then, writing φ = μ̃: 1. φ ∈ C(R). 2. φ(v) = (i) ∫ R x edμ(x). 3. φ is uniformly continuous. 4. |φ(v)| ≤ ∫ R |x| dμ(x). 1Charalambos D. Aliprantis and Kim C. Border, Infinite Dimensional Analysis: A Hitchhiker’s Guide, third ed., p. 515, Theorem 15.15; http://individual.utoronto.ca/ jordanbell/notes/narrow.pdf 2Onno van Gaans, Probability measures on metric spaces, http://www.math.leidenuniv. nl/~vangaans/jancol1.pdf; Bert Fristedt and Lawrence Gray, A Modern Approach to Probability Theory, p. 365, Theorem 25.
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