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Optimal averaging procedures in almost sure central limit theory
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Hörmann, Siegfried
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http://mrvar.fdv.uni-lj.si/pub/mz/mz2.1/hoerman.pdf
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Abstract
Let X1,X2, . . . be i.i.d. random variables with EX1 = 0,EX2 1 = 1, Sn = X1 +.. .+Xn and let (dk) be a positive numerical sequence. We investigate the a.s. convergence of the averages 1 DN N Xk=1 dkI{Sk/¡Ìk ¡Ü x} ,where DN = PN k=1 dk. In the case of dk = 1/k we have logarithmic means and by the almost sure central limit theorem the above averages converge a.s. (x), the standard normal distribution function. It is also known that the analogous convergence relation fails for dk = 1 (ordinary averages). In this paper we give a fairly complete solution of the problem for which weight sequences the above convergence relation and its refinements hold.
Language:
English
Work type:
Not categorized
Typology:
1.01 - Original Scientific Article
Organization:
FDV - Faculty of Social Sciences
Year:
2005
Number of pages:
Str. 271-282
Numbering:
Vol. 2, no. 2
PID:
20.500.12556/RUL-22457
UDC:
311
ISSN on article:
1854-0023
COBISS.SI-ID:
24318301
Publication date in RUL:
11.07.2014
Views:
601
Downloads:
58
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Title:
Advances in methodology and statistics
Shortened title:
Metodol. zv.
Publisher:
Fakulteta za družbene vede
ISSN:
1854-0023
COBISS.SI-ID:
215795712
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