On the convergence of the empirical mass function
We show that the empirical mass function associated with a sequence of i.i.d. discrete random variables converges in lr at the (n/log2n)1/2 rate, for all r>=2. For r<2 the rate is shown to fail for heavy-tailed distributions. The threshold case of r=2 is explored in detail.
Year of publication: |
2008
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Authors: | Russo, Ralph P. ; Shyamalkumar, Nariankadu D. |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 78.2008, 15, p. 2293-2299
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Publisher: |
Elsevier |
Saved in:
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