Functional asymptotic confidence intervals for a common mean of independent random variables

Details Functional asymptotic confidence intervals for a common mean of independent random variables Functional asymptotic confidence intervals for a common mean of independent random variables

2009-01-29

arxiv.org/abs/0901.4628v1

Electronic Journal of Statistics 2009, Vol. 3, 25-40

Mathematics

Statistics Theory

Published in at http://dx.doi.org/10.1214/08-EJS233 the Electronic Journal of Statistics (http://www.i-journals.org/ejs/) by t

Scientific paper

10.1214/08-EJS233

We consider independent random variables (r.v.'s) with a common mean $\mu$ that either satisfy Lindeberg's condition, or are symmetric around $\mu$. Present forms of existing functional central limit theorems (FCLT's) for Studentized partial sums of such r.v.'s on $D[0,1]$ are seen to be of some use for constructing asymptotic confidence intervals, or what we call functional asymptotic confidence intervals (FACI's), for $\mu$. In this paper we establish completely data-based versions of these FCLT's and thus extend their applicability in this regard. Two special examples of new FACI's for $\mu$ are presented.

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