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 | + | 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 | |
− | + | $$ | |
− | + | \frac{ \sum_{i=1}^{n_k} X_i - A_{n_k} }{ B_{n_k} } | |
− | converge weakly, as | + | $$ |
+ | 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> | + | <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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====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. | ||
+ | |||
+ | {{TEX|done}} |
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.
Attraction, partial domain of. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Attraction,_partial_domain_of&oldid=14820