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Difference between revisions of "Attraction, partial domain of"

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''of an infinitely-divisible distribution''
 
''of an infinitely-divisible distribution''
  
The set of all distribution functions <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/a/a013/a013930/a0139301.png" /> such that for a sequence of independent identically-distributed random variables <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/a/a013/a013930/a0139302.png" /> with distribution function <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/a/a013/a013930/a0139303.png" />, for an appropriate choice of constants <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/a/a013/a013930/a0139304.png" /> and <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/a/a013/a013930/a0139305.png" />, <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/a/a013/a013930/a0139306.png" /> and a subsequence of integers <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/a/a013/a013930/a0139307.png" />, the distribution functions of the random variables
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The set of all distribution functions $F(x)$ such that for a sequence of independent identically-distributed random variables $X_1,X_2,\ldots$ with distribution function $F$, for an appropriate choice of constants $A_n$ and $B_n>0$, $n=1,2,\ldots$
 
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and a subsequence of integers $n_1 < n_2 < \cdots$, the distribution functions of the random variables
<table class="eq" style="width:100%;"> <tr><td valign="top" style="width:94%;text-align:center;"><img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/a/a013/a013930/a0139308.png" /></td> <td valign="top" style="width:5%;text-align:right;">(*)</td></tr></table>
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$$
 
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\frac{ \sum_{i=1}^{n_k} X_i - A_{n_k} }{ B_{n_k} }
converge weakly, as <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/a/a013/a013930/a0139309.png" />, to a (given) non-degenerate distribution function <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/a/a013/a013930/a01393010.png" /> that is infinitely divisible; every infinitely-divisible distribution has a non-empty domain of partial attraction. There exist distribution functions that do not belong to any partial domain of attraction and there also exist distribution functions that belong to the partial domain of attraction of any infinitely-divisible distribution function.
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$$
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converge weakly, as $k\rightarrow\infty$, to a (given) non-degenerate distribution function $V(x)$ that is infinitely divisible; every [[infinitely-divisible distribution]] has a non-empty domain of partial attraction. There exist distribution functions that do not belong to any partial domain of attraction and there also exist distribution functions that belong to the partial domain of attraction of any infinitely-divisible distribution function.
  
 
====References====
 
====References====
<table><TR><TD valign="top">[1]</TD> <TD valign="top">  B.V. Gnedenko,  A.N. Kolmogorov,  "Limit distributions for sums of independent random variables" , Addison-Wesley  (1954)  (Translated from Russian)</TD></TR></table>
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<table>
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<TR><TD valign="top">[1]</TD> <TD valign="top">  B.V. Gnedenko,  A.N. Kolmogorov,  "Limit distributions for sums of independent random variables" , Addison-Wesley  (1954)  (Translated from Russian)</TD></TR>
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</table>
  
  
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====Comments====
 
====Comments====
 
The notion defined in this article is also commonly called the domain of partial attraction.
 
The notion defined in this article is also commonly called the domain of partial attraction.
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Latest revision as of 20:38, 8 November 2017

of an infinitely-divisible distribution

The set of all distribution functions $F(x)$ such that for a sequence of independent identically-distributed random variables $X_1,X_2,\ldots$ with distribution function $F$, for an appropriate choice of constants $A_n$ and $B_n>0$, $n=1,2,\ldots$ and a subsequence of integers $n_1 < n_2 < \cdots$, the distribution functions of the random variables $$ \frac{ \sum_{i=1}^{n_k} X_i - A_{n_k} }{ B_{n_k} } $$ converge weakly, as $k\rightarrow\infty$, to a (given) non-degenerate distribution function $V(x)$ that is infinitely divisible; every infinitely-divisible distribution has a non-empty domain of partial attraction. There exist distribution functions that do not belong to any partial domain of attraction and there also exist distribution functions that belong to the partial domain of attraction of any infinitely-divisible distribution function.

References

[1] B.V. Gnedenko, A.N. Kolmogorov, "Limit distributions for sums of independent random variables" , Addison-Wesley (1954) (Translated from Russian)


Comments

The notion defined in this article is also commonly called the domain of partial attraction.

How to Cite This Entry:
Attraction, partial domain of. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Attraction,_partial_domain_of&oldid=14820
This article was adapted from an original article by B.A. Rogozin (originator), which appeared in Encyclopedia of Mathematics - ISBN 1402006098. See original article