Abstract
Let $k$ be a positive integer, let $X, X_1, X_2, \cdots$ be i.i.d. random variables, and let $m_n^{(k)}$ be the $k$th largest of $X_1, \cdots, X_n$. Let $(M_n^{(k)}(t))_{0 < t < \infty}$ be the random process defined by $M_n^{(k)} (t) = m^{(k)}_{\lbrack nt\rbrack}. M_n^{(k)}$ takes values in the space $D$ of non-decreasing right-continuous functions on $(0, \infty)$. Let $D$ be endowed with the usual topology of weak convergence. We show that if $X$ is uniformly distributed over [-1,0], then wp 1 the sequence $(M_n^{(k)}/(\log_2 n/n))_{n\geqq 3}$ is relatively compact in $D$ and its limit points coincide with $\{x\in D: x(t) \leqq 0$ for all $t$, and $\int x(t) dt \geqq -1\}$. Also, we show that if $X$ is exponential with mean 1, then wp 1 the sequence $((M_n^{(k)} - \log n)/\log_2n)_{n\geqq 3}$ is relatively compact in $D$ and its limit points coincide with $\{x\in D: x(t) \geqq 0$ for all $t$, and $\lambda_k(x) \leqq 1\}$; here $\lambda_k(x) = \sup (\sum_{p < q} x(t_p) + kx(t_q))$, with the supremum being taken over all finite systems of points $\{t_p\}_{p \leqq q}$ over which $x$ is strictly increasing. Extensions of and corollaries to these results are given.
Citation
Michael J. Wichura. "On the Functional Form of the Law of the Iterated Logarithm for the Partial Maxima of Independent Identically Distributed Random Variables." Ann. Probab. 2 (2) 202 - 230, April, 1974. https://doi.org/10.1214/aop/1176996704
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