Darling-Erdos theorem for self-normalized sums

Miklós Csörgo*, Barbara Szyszkowicz, Qiying Wang

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    25 Citations (Scopus)

    Abstract

    Let X, X1, X2,... be i.i.d. nondegenerate random variables, Sn = ∑j=1n Xj and Vn2 = ∑j=1n. We investigate the asymptotic behavior in distribution of the maximum of self-normalized sums, max1≤k≤n Sk/Vk, and the law of the iterated logarithm for self-normalized sums, Sn/Vn, when X belongs to the domain of attraction of the normal law. In this context, we establish a Darling-Erdos-type theorem as well as an Erdos-Feller-Kolmogorov-Petrovski-type test for self-normalized sums.

    Original languageEnglish
    Pages (from-to)676-692
    Number of pages17
    JournalAnnals of Probability
    Volume31
    Issue number2
    DOIs
    Publication statusPublished - Apr 2003

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