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

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We consider independent random variables (r.v.'s) with a common mean μ that either satisfy Lindeberg's condition, or are symmetric around μ. 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 μ. 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 μ are presented.